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Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects (4.2024)

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File Name
Size
01. Introduction/01. Welcome.mp4
14 MB
01. Introduction/01. Welcome.vtt
3.6 kB
01. Introduction/02. General Introduction.mp4
40 MB
01. Introduction/02. General Introduction.vtt
35 kB
01. Introduction/03. Link to Code.html
5.2 kB
02. Tensors and Variables/01. Link to Code.html
203 B
02. Tensors and Variables/02. Tensor Basics.mp4
26 MB
02. Tensors and Variables/02. Tensor Basics.vtt
7.3 kB
02. Tensors and Variables/03. Tensor Initialization and Casting.mp4
286 MB
02. Tensors and Variables/04. Indexing.mp4
93 MB
02. Tensors and Variables/04. Indexing.vtt
31 kB
02. Tensors and Variables/05. Maths Operations in Tensorflow.mp4
205 MB
02. Tensors and Variables/05. Maths Operations in Tensorflow.vtt
41 kB
02. Tensors and Variables/06. Linear Algebra Operations in Tensorflow.mp4
360 MB
02. Tensors and Variables/06. Linear Algebra Operations in Tensorflow.vtt
67 kB
02. Tensors and Variables/07. Common Methods.mp4
203 MB
02. Tensors and Variables/07. Common Methods.vtt
37 kB
02. Tensors and Variables/08. Ragged Tensors.mp4
84 MB
02. Tensors and Variables/08. Ragged Tensors.vtt
14 kB
02. Tensors and Variables/09. Sparse Tensors.mp4
9.2 MB
02. Tensors and Variables/09. Sparse Tensors.vtt
3.5 kB
02. Tensors and Variables/10. String Tensors.mp4
21 MB
02. Tensors and Variables/10. String Tensors.vtt
4.1 kB
02. Tensors and Variables/11. Tensorflow Variables.mp4
19 MB
02. Tensors and Variables/11. Tensorflow Variables.vtt
4.4 kB
03. Building a Simple Neural Network in Tensorflow/01. Link to Dataset.html
147 B
03. Building a Simple Neural Network in Tensorflow/02. Link to Code.html
267 B
03. Building a Simple Neural Network in Tensorflow/03. Task Understanding.mp4
13 MB
03. Building a Simple Neural Network in Tensorflow/03. Task Understanding.vtt
5.3 kB
03. Building a Simple Neural Network in Tensorflow/04. Data Preparation.mp4
216 MB
03. Building a Simple Neural Network in Tensorflow/04. Data Preparation.vtt
30 kB
03. Building a Simple Neural Network in Tensorflow/05. Linear Regression Model.mp4
96 MB
03. Building a Simple Neural Network in Tensorflow/05. Linear Regression Model.vtt
18 kB
03. Building a Simple Neural Network in Tensorflow/06. Error sanctioning.mp4
95 MB
03. Building a Simple Neural Network in Tensorflow/06. Error sanctioning.vtt
22 kB
03. Building a Simple Neural Network in Tensorflow/07. Training and Optimization.mp4
48 MB
03. Building a Simple Neural Network in Tensorflow/07. Training and Optimization.vtt
21 kB
03. Building a Simple Neural Network in Tensorflow/08. Performance Measurement.mp4
26 MB
03. Building a Simple Neural Network in Tensorflow/08. Performance Measurement.vtt
4.4 kB
03. Building a Simple Neural Network in Tensorflow/09. Validation and testing.mp4
170 MB
03. Building a Simple Neural Network in Tensorflow/09. Validation and testing.vtt
28 kB
03. Building a Simple Neural Network in Tensorflow/10. Corrective Measures.mp4
69 MB
03. Building a Simple Neural Network in Tensorflow/10. Corrective Measures.vtt
13 kB
03. Building a Simple Neural Network in Tensorflow/11. TensorFlow Datasets.mp4
68 MB
03. Building a Simple Neural Network in Tensorflow/11. TensorFlow Datasets.vtt
13 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/01. Link to Code.html
402 B
04. Building Convolutional Neural Networks Malaria Diagnosis/02. Task understanding.mp4
52 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/02. Task understanding.vtt
12 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/03. Data Preparation.mp4
139 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/03. Data Preparation.vtt
27 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/04. Data visualization.mp4
9.6 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/04. Data visualization.vtt
3.3 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/05. Data Processing.mp4
23 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/05. Data Processing.vtt
10 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/06. How and Why Convolutional Neural Networks work.mp4
330 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/06. How and Why Convolutional Neural Networks work.vtt
58 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/07. Building Convnets in Tensorflow.mp4
42 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/07. Building Convnets in Tensorflow.vtt
8.3 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/08. Binary Crossentropy loss.mp4
25 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/08. Binary Crossentropy loss.vtt
13 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/09. Convnet training.mp4
56 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/09. Convnet training.vtt
10 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/10. Model evaluation and testing.mp4
17 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/10. Model evaluation and testing.vtt
6.9 kB
04. Building Convolutional Neural Networks Malaria Diagnosis/11. Loading and Saving Tensorflow Models to Google Drive.mp4
97 MB
04. Building Convolutional Neural Networks Malaria Diagnosis/11. Loading and Saving Tensorflow Models to Google Drive.vtt
23 kB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/01. Functional API.mp4
132 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/01. Functional API.vtt
20 kB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/02. Model Subclassing.mp4
114 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/02. Model Subclassing.vtt
16 kB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/03. Custom Layers.mp4
47 MB
05. Building more advanced Models with Functional API, Subclassing and Custom Layers/03. Custom Layers.vtt
22 kB
06. Evaluating Classification Models/01. Precision,Recall and Accuracy.mp4
187 MB
06. Evaluating Classification Models/01. Precision,Recall and Accuracy.vtt
30 kB
06. Evaluating Classification Models/02. Confusion Matrix.mp4
35 MB
06. Evaluating Classification Models/02. Confusion Matrix.vtt
11 kB
06. Evaluating Classification Models/03. ROC Plots.mp4
29 MB
06. Evaluating Classification Models/03. ROC Plots.vtt
10 kB
07. Improving Model Performance/01. Tensorflow Callbacks.mp4
208 MB
07. Improving Model Performance/01. Tensorflow Callbacks.vtt
31 kB
07. Improving Model Performance/02. Learning rate scheduling.mp4
105 MB
07. Improving Model Performance/02. Learning rate scheduling.vtt
21 kB
07. Improving Model Performance/03. Model checkpointing.mp4
59 MB
07. Improving Model Performance/03. Model checkpointing.vtt
9.7 kB
07. Improving Model Performance/04. Mitigating overfitting and underfitting.mp4
189 MB
07. Improving Model Performance/04. Mitigating overfitting and underfitting.vtt
35 kB
08. Data augmentation/01. Data augmentation with TensorFlow using tf.image and Keras Layers.mp4
454 MB
08. Data augmentation/02. Mixup Data augmentation with TensorFlow 2 with intergration in tf.data.mp4
155 MB
08. Data augmentation/02. Mixup Data augmentation with TensorFlow 2 with intergration in tf.data.vtt
23 kB
08. Data augmentation/03. Cutmix Data augmentation with TensorFlow 2 and intergration in tf.data.mp4
328 MB
08. Data augmentation/04. Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4
192 MB
08. Data augmentation/04. Albumentations with TensorFlow 2 and PyTorch for Data augmentation.vtt
27 kB
09. Advanced Tensorflow Concepts/01. Custom Loss and Metrics.mp4
169 MB
09. Advanced Tensorflow Concepts/01. Custom Loss and Metrics.vtt
26 kB
09. Advanced Tensorflow Concepts/02. Eager and graph modes.mp4
43 MB
09. Advanced Tensorflow Concepts/02. Eager and graph modes.vtt
16 kB
09. Advanced Tensorflow Concepts/03. Custom training loops.mp4
227 MB
09. Advanced Tensorflow Concepts/03. Custom training loops.vtt
33 kB
10. Tensorboard integration/01. Data logging.mp4
279 MB
10. Tensorboard integration/01. Data logging.vtt
41 kB
10. Tensorboard integration/02. Viewing model graphs.mp4
9.6 MB
10. Tensorboard integration/02. Viewing model graphs.vtt
3.8 kB
10. Tensorboard integration/03. Hyperparameter tuning.mp4
167 MB
10. Tensorboard integration/03. Hyperparameter tuning.vtt
25 kB
10. Tensorboard integration/04. Profiling and other visualizations with Tensorboard.mp4
67 MB
10. Tensorboard integration/04. Profiling and other visualizations with Tensorboard.vtt
9.9 kB
11. MLOps with Weights and Biases/01. Experiment tracking.mp4
455 MB
11. MLOps with Weights and Biases/01. Experiment tracking.vtt
71 kB
11. MLOps with Weights and Biases/02. Hyperparameter tuning with wandb.mp4
135 MB
11. MLOps with Weights and Biases/02. Hyperparameter tuning with wandb.vtt
29 kB
11. MLOps with Weights and Biases/03. Dataset Versioning with Weights and Biases and TensorFlow 2.mp4
313 MB
11. MLOps with Weights and Biases/04. Model Versioning with Weights and Biases and TensorFlow 2.mp4
100 MB
11. MLOps with Weights and Biases/04. Model Versioning with Weights and Biases and TensorFlow 2.vtt
22 kB
12. Human Emotions Detection/01. Link to Code.html
235 B
12. Human Emotions Detection/02. Data preparation.mp4
214 MB
12. Human Emotions Detection/02. Data preparation.vtt
36 kB
12. Human Emotions Detection/03. Modeling and training.mp4
350 MB
12. Human Emotions Detection/03. Modeling and training.vtt
68 kB
12. Human Emotions Detection/04. Data augmentation.mp4
136 MB
12. Human Emotions Detection/04. Data augmentation.vtt
23 kB
12. Human Emotions Detection/05. Tensorflow records.mp4
278 MB
12. Human Emotions Detection/05. Tensorflow records.vtt
45 kB
13. Modern Convolutional Neural Networks/01. Alexnet.mp4
181 MB
13. Modern Convolutional Neural Networks/01. Alexnet.vtt
20 kB
13. Modern Convolutional Neural Networks/02. Vggnet.mp4
113 MB
13. Modern Convolutional Neural Networks/02. Vggnet.vtt
14 kB
13. Modern Convolutional Neural Networks/03. Resnet.mp4
342 MB
13. Modern Convolutional Neural Networks/03. Resnet.vtt
40 kB
13. Modern Convolutional Neural Networks/04. Coding Resnets.mp4
172 MB
13. Modern Convolutional Neural Networks/04. Coding Resnets.vtt
28 kB
13. Modern Convolutional Neural Networks/05. Mobilenet.mp4
198 MB
13. Modern Convolutional Neural Networks/05. Mobilenet.vtt
29 kB
13. Modern Convolutional Neural Networks/06. Efficientnet.mp4
185 MB
13. Modern Convolutional Neural Networks/06. Efficientnet.vtt
21 kB
14. Transfer Learning/01. Leveraging pretrained models.mp4
153 MB
14. Transfer Learning/01. Leveraging pretrained models.vtt
28 kB
14. Transfer Learning/02. Finetuning.mp4
99 MB
14. Transfer Learning/02. Finetuning.vtt
16 kB
15. Understanding the blackbox/01. Visualizing intermediate layers.mp4
150 MB
15. Understanding the blackbox/01. Visualizing intermediate layers.vtt
23 kB
15. Understanding the blackbox/02. Grad-cam method.mp4
221 MB
15. Understanding the blackbox/02. Grad-cam method.vtt
27 kB
16. Ensembling and class imbalance/01. Ensembling.mp4
34 MB
16. Ensembling and class imbalance/01. Ensembling.vtt
6.9 kB
16. Ensembling and class imbalance/02. Class Imbalance.mp4
95 MB
16. Ensembling and class imbalance/02. Class Imbalance.vtt
14 kB
17. Transformers in Vision/01. Understanding VITs.mp4
403 MB
17. Transformers in Vision/02. Building VITs from scratch.mp4
378 MB
17. Transformers in Vision/02. Building VITs from scratch.vtt
67 kB
17. Transformers in Vision/03. Finetuning Huggingface transformers.mp4
181 MB
17. Transformers in Vision/03. Finetuning Huggingface transformers.vtt
29 kB
17. Transformers in Vision/04. Model evaluation with wandb.mp4
123 MB
17. Transformers in Vision/04. Model evaluation with wandb.vtt
27 kB
17. Transformers in Vision/05. Data efficient transformers.mp4
63 MB
17. Transformers in Vision/05. Data efficient transformers.vtt
11 kB
17. Transformers in Vision/06. Swin transformers.mp4
127 MB
17. Transformers in Vision/06. Swin transformers.vtt
19 kB
18. Model deployment/01. Model Conversion from Tensorflow to Onnx.mp4
196 MB
18. Model deployment/01. Model Conversion from Tensorflow to Onnx.vtt
29 kB
18. Model deployment/02. Understanding quantization.mp4
151 MB
18. Model deployment/02. Understanding quantization.vtt
22 kB
18. Model deployment/03. Practical quantization of Onnx.mp4
61 MB
18. Model deployment/03. Practical quantization of Onnx.vtt
10 kB
18. Model deployment/04. Quantization aware training.mp4
140 MB
18. Model deployment/04. Quantization aware training.vtt
22 kB
18. Model deployment/05. Conversion to Tensorflow Lite.mp4
147 MB
18. Model deployment/05. Conversion to Tensorflow Lite.vtt
22 kB
18. Model deployment/06. What is an API.mp4
79 MB
18. Model deployment/06. What is an API.vtt
24 kB
18. Model deployment/07. Building the Emotions Detection API with Fastapi.mp4
648 MB
18. Model deployment/07. Building the Emotions Detection API with Fastapi.vtt
99 kB
18. Model deployment/08. Deploy the Emotions Detection API to the Cloud.mp4
99 MB
18. Model deployment/08. Deploy the Emotions Detection API to the Cloud.vtt
15 kB
18. Model deployment/09. Load tesing the Emotions Detection API with Locust.mp4
101 MB
18. Model deployment/09. Load tesing the Emotions Detection API with Locust.vtt
17 kB
19. Object Detection with YOLO algorithm/01. Link to Code.html
222 B
19. Object Detection with YOLO algorithm/02. Understanding object detection.mp4
19 MB
19. Object Detection with YOLO algorithm/02. Understanding object detection.vtt
8.4 kB
19. Object Detection with YOLO algorithm/03. YOLO paper.mp4
554 MB
19. Object Detection with YOLO algorithm/03. YOLO paper.vtt
80 kB
19. Object Detection with YOLO algorithm/04. Dataset Preparation.mp4
382 MB
19. Object Detection with YOLO algorithm/04. Dataset Preparation.vtt
52 kB
19. Object Detection with YOLO algorithm/05. YOLO Resnet.mp4
26 MB
19. Object Detection with YOLO algorithm/05. YOLO Resnet.vtt
6.9 kB
19. Object Detection with YOLO algorithm/06. YOLO Loss.mp4
664 MB
19. Object Detection with YOLO algorithm/06. YOLO Loss.vtt
80 kB
19. Object Detection with YOLO algorithm/07. Data augmentation.mp4
210 MB
19. Object Detection with YOLO algorithm/07. Data augmentation.vtt
30 kB
19. Object Detection with YOLO algorithm/08. Testing.mp4
297 MB
19. Object Detection with YOLO algorithm/08. Testing.vtt
39 kB
19. Object Detection with YOLO algorithm/09. Data generators.mp4
21 MB
19. Object Detection with YOLO algorithm/09. Data generators.vtt
6.0 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/01. Link to Code.html
154 B
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/02. Problem Understanding.mp4
23 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/02. Problem Understanding.vtt
3.5 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/03. Data Downloading.mp4
25 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/03. Data Downloading.vtt
4.7 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/04. Data Splitting.mp4
114 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/04. Data Splitting.vtt
15 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/05. Data Processing.mp4
156 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/05. Data Processing.vtt
27 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/06. Data Visualization with Matplotlib.mp4
65 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/06. Data Visualization with Matplotlib.vtt
12 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/07. Data Visualization with FiftyOne.mp4
178 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/07. Data Visualization with FiftyOne.vtt
25 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/08. Understanding Segformer.mp4
102 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/08. Understanding Segformer.vtt
32 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/09. Model Creation.mp4
172 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/09. Model Creation.vtt
33 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/10. Model Evaluation with FiftyOne.mp4
248 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/10. Model Evaluation with FiftyOne.vtt
35 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/11. Virtual Cloth Try-on with Stable Diffusion Inpainting.mp4
210 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/11. Virtual Cloth Try-on with Stable Diffusion Inpainting.vtt
32 kB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/12. Building FiftyOne Data Augmentation Plugin with Stable Diffusion Inpainting.mp4
542 MB
20. Image segmentation and Virtual Cloth Try-on with Stable Diffusion Inpainting/12. Building FiftyOne Data Augmentation Plugin with Stable Diffusion Inpainting.vtt
64 kB
21. People counting/01. Link to Code.html
213 B
21. People counting/02. People Counting - Shangai Tech Dataset.mp4
79 MB
21. People counting/02. People Counting - Shangai Tech Dataset.vtt
14 kB
21. People counting/03. Dataset preparation.mp4
249 MB
21. People counting/03. Dataset preparation.vtt
50 kB
21. People counting/04. CSRNET.mp4
28 MB
21. People counting/04. CSRNET.vtt
9.4 kB
21. People counting/05. Training and optimization.mp4
44 MB
21. People counting/05. Training and optimization.vtt
7.4 kB
21. People counting/06. Data augmentation.mp4
252 MB
21. People counting/06. Data augmentation.vtt
32 kB
22. Image generation/01. Link to Code.html
452 B
22. Image generation/02. Introduction to image generation.mp4
20 MB
22. Image generation/02. Introduction to image generation.vtt
4.2 kB
22. Image generation/03. Understanding variational autoencoders.mp4
104 MB
22. Image generation/03. Understanding variational autoencoders.vtt
19 kB
22. Image generation/04. VAE training and digit generation.mp4
146 MB
22. Image generation/05. Latent space visualizations.mp4
107 MB
22. Image generation/05. Latent space visualizations.vtt
19 kB
22. Image generation/06. How GANs work.mp4
228 MB
22. Image generation/06. How GANs work.vtt
25 kB
22. Image generation/07. The GAN loss.mp4
158 MB
22. Image generation/07. The GAN loss.vtt
23 kB
22. Image generation/08. Improving GAN training.mp4
125 MB
22. Image generation/08. Improving GAN training.vtt
30 kB
22. Image generation/09. Face generation with GANs.mp4
392 MB
22. Image generation/09. Face generation with GANs.vtt
59 kB
23. Text Preprocessing for Sentiment analysis/01. Understanding sentiment analysis.mp4
86 MB
23. Text Preprocessing for Sentiment analysis/01. Understanding sentiment analysis.vtt
14 kB
23. Text Preprocessing for Sentiment analysis/02. Text standardization.mp4
118 MB
23. Text Preprocessing for Sentiment analysis/02. Text standardization.vtt
18 kB
23. Text Preprocessing for Sentiment analysis/03. Tokenization.mp4
48 MB
23. Text Preprocessing for Sentiment analysis/03. Tokenization.vtt
20 kB
23. Text Preprocessing for Sentiment analysis/04. One-hot encoding and Bag of Words.mp4
55 MB
23. Text Preprocessing for Sentiment analysis/04. One-hot encoding and Bag of Words.vtt
18 kB
23. Text Preprocessing for Sentiment analysis/05. Term frequency - Inverse Document frequency (TF-IDF).mp4
38 MB
23. Text Preprocessing for Sentiment analysis/05. Term frequency - Inverse Document frequency (TF-IDF).vtt
11 kB
23. Text Preprocessing for Sentiment analysis/06. Embeddings.mp4
33 MB
23. Text Preprocessing for Sentiment analysis/06. Embeddings.vtt
13 kB
24. Sentiment Analysis with Recurrent neural networks/01. Link to Code.html
255 B
24. Sentiment Analysis with Recurrent neural networks/02. How Recurrent neural networks work.mp4
54 MB
24. Sentiment Analysis with Recurrent neural networks/02. How Recurrent neural networks work.vtt
25 kB
24. Sentiment Analysis with Recurrent neural networks/03. Data preparation.mp4
159 MB
24. Sentiment Analysis with Recurrent neural networks/03. Data preparation.vtt
34 kB
24. Sentiment Analysis with Recurrent neural networks/04. Building and training RNNs.mp4
157 MB
24. Sentiment Analysis with Recurrent neural networks/04. Building and training RNNs.vtt
29 kB
24. Sentiment Analysis with Recurrent neural networks/05. Advanced RNNs (LSTM and GRU).mp4
202 MB
24. Sentiment Analysis with Recurrent neural networks/05. Advanced RNNs (LSTM and GRU).vtt
43 kB
24. Sentiment Analysis with Recurrent neural networks/06. 1D Convolutional Neural Network.mp4
208 MB
24. Sentiment Analysis with Recurrent neural networks/06. 1D Convolutional Neural Network.vtt
37 kB
25. Sentiment Analysis with transfer learning/01. Understanding Word2vec.mp4
200 MB
25. Sentiment Analysis with transfer learning/01. Understanding Word2vec.vtt
31 kB
25. Sentiment Analysis with transfer learning/02. Integrating pretrained Word2vec embeddings.mp4
82 MB
25. Sentiment Analysis with transfer learning/02. Integrating pretrained Word2vec embeddings.vtt
16 kB
25. Sentiment Analysis with transfer learning/03. Testing.mp4
42 MB
25. Sentiment Analysis with transfer learning/03. Testing.vtt
9.5 kB
25. Sentiment Analysis with transfer learning/04. Visualizing embeddings.mp4
108 MB
25. Sentiment Analysis with transfer learning/04. Visualizing embeddings.vtt
19 kB
26. Neural Machine Translation with Recurrent Neural Networks/01. Link to Code.html
246 B
26. Neural Machine Translation with Recurrent Neural Networks/02. Understanding Machine Translation.mp4
97 MB
26. Neural Machine Translation with Recurrent Neural Networks/02. Understanding Machine Translation.vtt
17 kB
26. Neural Machine Translation with Recurrent Neural Networks/03. Data preparation.mp4
146 MB
26. Neural Machine Translation with Recurrent Neural Networks/03. Data preparation.vtt
35 kB
26. Neural Machine Translation with Recurrent Neural Networks/04. Building, training and testing Model.mp4
84 MB
26. Neural Machine Translation with Recurrent Neural Networks/04. Building, training and testing Model.vtt
35 kB
26. Neural Machine Translation with Recurrent Neural Networks/05. Understanding BLEU Score.mp4
34 MB
26. Neural Machine Translation with Recurrent Neural Networks/05. Understanding BLEU Score.vtt
13 kB
26. Neural Machine Translation with Recurrent Neural Networks/06. Coding BLEU score from scratch.mp4
86 MB
26. Neural Machine Translation with Recurrent Neural Networks/06. Coding BLEU score from scratch.vtt
20 kB
27. Neural Machine Translation with Attention/01. Link to Code.html
239 B
27. Neural Machine Translation with Attention/02. Understanding Bahdanau Attention.mp4
87 MB
27. Neural Machine Translation with Attention/02. Understanding Bahdanau Attention.vtt
25 kB
27. Neural Machine Translation with Attention/03. Building, training and testing Bahdanau Attention.mp4
170 MB
27. Neural Machine Translation with Attention/03. Building, training and testing Bahdanau Attention.vtt
27 kB
28. Neural Machine Translation with Transformers/01. Link to Code.html
233 B
28. Neural Machine Translation with Transformers/02. Understanding Transformer Networks.mp4
586 MB
28. Neural Machine Translation with Transformers/02. Understanding Transformer Networks.vtt
77 kB
28. Neural Machine Translation with Transformers/03. Building, training and testing Transformers.mp4
444 MB
28. Neural Machine Translation with Transformers/03. Building, training and testing Transformers.vtt
62 kB
28. Neural Machine Translation with Transformers/04. Building Transformers with Custom Attention Layer.mp4
129 MB
28. Neural Machine Translation with Transformers/04. Building Transformers with Custom Attention Layer.vtt
25 kB
28. Neural Machine Translation with Transformers/05. Visualizing Attention scores.mp4
48 MB
28. Neural Machine Translation with Transformers/05. Visualizing Attention scores.vtt
17 kB
29. Sentiment Analysis with Transformers/01. Link to Code.html
225 B
29. Sentiment Analysis with Transformers/02. Sentiment analysis with Transformer encoder.mp4
48 MB
29. Sentiment Analysis with Transformers/02. Sentiment analysis with Transformer encoder.vtt
10 kB
29. Sentiment Analysis with Transformers/03. Sentiment analysis with LSH Attention.mp4
481 MB
30. Transfer Learning and Generalized Language Models/01. Understanding Transfer Learning.mp4
37 MB
30. Transfer Learning and Generalized Language Models/01. Understanding Transfer Learning.vtt
16 kB
30. Transfer Learning and Generalized Language Models/02. Ulmfit.mp4
17 MB
30. Transfer Learning and Generalized Language Models/02. Ulmfit.vtt
5.8 kB
30. Transfer Learning and Generalized Language Models/03. Gpt.mp4
90 MB
30. Transfer Learning and Generalized Language Models/03. Gpt.vtt
25 kB
30. Transfer Learning and Generalized Language Models/04. Bert.mp4
102 MB
30. Transfer Learning and Generalized Language Models/04. Bert.vtt
24 kB
30. Transfer Learning and Generalized Language Models/05. Albert.mp4
24 MB
30. Transfer Learning and Generalized Language Models/05. Albert.vtt
5.9 kB
30. Transfer Learning and Generalized Language Models/06. Gpt2.mp4
134 MB
30. Transfer Learning and Generalized Language Models/06. Gpt2.vtt
15 kB
30. Transfer Learning and Generalized Language Models/07. Roberta.mp4
14 MB
30. Transfer Learning and Generalized Language Models/07. Roberta.vtt
2.9 kB
30. Transfer Learning and Generalized Language Models/08. T5.mp4
54 MB
30. Transfer Learning and Generalized Language Models/08. T5.vtt
10 kB
31. Sentiment Analysis with Deberta in Huggingface transformers/01. Link to Code.html
248 B
31. Sentiment Analysis with Deberta in Huggingface transformers/02. Data Preparation.mp4
317 MB
31. Sentiment Analysis with Deberta in Huggingface transformers/02. Data Preparation.vtt
58 kB
31. Sentiment Analysis with Deberta in Huggingface transformers/03. Building,training and testing model.mp4
207 MB
31. Sentiment Analysis with Deberta in Huggingface transformers/03. Building,training and testing model.vtt
35 kB
32. Intent Classification with Deberta in Huggingface transformers/01. Link to Code.html
255 B
32. Intent Classification with Deberta in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
49 MB
32. Intent Classification with Deberta in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
22 kB
32. Intent Classification with Deberta in Huggingface transformers/03. Building,training and testing model.mp4
80 MB
32. Intent Classification with Deberta in Huggingface transformers/03. Building,training and testing model.vtt
12 kB
33. Named Entity Relation with Roberta in Huggingface transformers/01. Link to Code.html
257 B
33. Named Entity Relation with Roberta in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
176 MB
33. Named Entity Relation with Roberta in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
33 kB
33. Named Entity Relation with Roberta in Huggingface transformers/03. Building,training and testing model.mp4
93 MB
33. Named Entity Relation with Roberta in Huggingface transformers/03. Building,training and testing model.vtt
16 kB
34. Extractive Question Answering with Longformer in Huggingface transformers/01. Link to Code.html
265 B
34. Extractive Question Answering with Longformer in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
590 MB
34. Extractive Question Answering with Longformer in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
75 kB
34. Extractive Question Answering with Longformer in Huggingface transformers/03. Building,training and testing model.mp4
106 MB
34. Extractive Question Answering with Longformer in Huggingface transformers/03. Building,training and testing model.vtt
15 kB
35. Ecommerce search engine with Sentence transformers/01. Link to Code.html
270 B
35. Ecommerce search engine with Sentence transformers/02. Problem Understanding and Sentence Embeddings.mp4
296 MB
35. Ecommerce search engine with Sentence transformers/02. Problem Understanding and Sentence Embeddings.vtt
45 kB
35. Ecommerce search engine with Sentence transformers/03. Dataset preparation.mp4
318 MB
35. Ecommerce search engine with Sentence transformers/03. Dataset preparation.vtt
45 kB
35. Ecommerce search engine with Sentence transformers/04. Building,training and testing model.mp4
379 MB
35. Ecommerce search engine with Sentence transformers/04. Building,training and testing model.vtt
56 kB
36. Lyrics Generator with GPT2 in Huggingface transformers/01. Link to Code.html
252 B
36. Lyrics Generator with GPT2 in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
164 MB
36. Lyrics Generator with GPT2 in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
27 kB
36. Lyrics Generator with GPT2 in Huggingface transformers/03. Building,training and testing model.mp4
183 MB
36. Lyrics Generator with GPT2 in Huggingface transformers/03. Building,training and testing model.vtt
33 kB
37. Grammatical Error Correction with T5 in Huggingface transformers/01. Link to Code.html
256 B
37. Grammatical Error Correction with T5 in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
62 MB
37. Grammatical Error Correction with T5 in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
11 kB
37. Grammatical Error Correction with T5 in Huggingface transformers/03. Building,training and testing model.mp4
53 MB
37. Grammatical Error Correction with T5 in Huggingface transformers/03. Building,training and testing model.vtt
8.4 kB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/01. Link to Code.html
255 B
38. Elon Musk Bot with BlenderBot in Huggingface transformers/02. Problem Understanding and Data Preparation.mp4
226 MB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/02. Problem Understanding and Data Preparation.vtt
32 kB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/03. Building,training and testing model.mp4
97 MB
38. Elon Musk Bot with BlenderBot in Huggingface transformers/03. Building,training and testing model.vtt
17 kB
39. Automatic Speech Recognition/01. Link to Code.html
213 B
39. Automatic Speech Recognition/02. Understanding Speech recognition and Data Processing.mp4
298 MB
39. Automatic Speech Recognition/02. Understanding Speech recognition and Data Processing.vtt
38 kB
39. Automatic Speech Recognition/03. Buillding and Training speech recognition model.mp4
169 MB
39. Automatic Speech Recognition/03. Buillding and Training speech recognition model.vtt
28 kB
40. Essential Python Programming/01. Python Installation.mp4
14 MB
40. Essential Python Programming/01. Python Installation.vtt
4.8 kB
40. Essential Python Programming/02. Variables and Basic Operators.mp4
113 MB
40. Essential Python Programming/02. Variables and Basic Operators.vtt
31 kB
40. Essential Python Programming/03. Conditional Statements.mp4
76 MB
40. Essential Python Programming/03. Conditional Statements.vtt
18 kB
40. Essential Python Programming/04. Loops.mp4
61 MB
40. Essential Python Programming/04. Loops.vtt
23 kB
40. Essential Python Programming/05. Methods.mp4
75 MB
40. Essential Python Programming/05. Methods.vtt
22 kB
40. Essential Python Programming/06. Objects and Classes.mp4
37 MB
40. Essential Python Programming/06. Objects and Classes.vtt
16 kB
40. Essential Python Programming/07. Operator Overloading.mp4
46 MB
40. Essential Python Programming/07. Operator Overloading.vtt
12 kB
40. Essential Python Programming/08. Method Types.mp4
27 MB
40. Essential Python Programming/08. Method Types.vtt
9.6 kB
40. Essential Python Programming/09. Inheritance.mp4
30 MB
40. Essential Python Programming/09. Inheritance.vtt
11 kB
40. Essential Python Programming/10. Encapsulation.mp4
6.4 MB
40. Essential Python Programming/10. Encapsulation.vtt
2.3 kB
40. Essential Python Programming/11. Polymorphism.mp4
6.4 MB
40. Essential Python Programming/11. Polymorphism.vtt
2.8 kB
40. Essential Python Programming/12. Decorators.mp4
79 MB
40. Essential Python Programming/12. Decorators.vtt
20 kB
40. Essential Python Programming/13. Generators.mp4
30 MB
40. Essential Python Programming/13. Generators.vtt
10 kB
40. Essential Python Programming/14. Numpy Package.mp4
174 MB
40. Essential Python Programming/14. Numpy Package.vtt
57 kB
40. Essential Python Programming/15. Matplotlib Introduction.mp4
14 MB
40. Essential Python Programming/15. Matplotlib Introduction.vtt
4.9 kB