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[Udemy] Deep Learning Recurrent Neural Networks in Python (06.2021)

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File Name
Size
1. Welcome/1. Introduction and Outline-en_US.srt
4.4 kB
1. Welcome/1. Introduction and Outline.mp4
32 MB
1. Welcome/2. External URLs.txt
75 B
1. Welcome/2. Where to get the Code-en_US.srt
12 kB
1. Welcome/2. Where to get the Code.mp4
32 MB
1. Welcome/3. How to Succeed in this Course-en_US.srt
7.9 kB
1. Welcome/3. How to Succeed in this Course.mp4
47 MB
10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt
19 kB
10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4
309 MB
10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt
14 kB
10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
192 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt
22 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4
94 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt
13 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4
29 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt
14 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4
108 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-en_US.srt
5.8 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4
10 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt
14 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4
25 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt
31 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
60 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt
16 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
135 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt
23 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
136 MB
13. Appendix FAQ Finale/1. What is the Appendix-en_US.srt
3.7 kB
13. Appendix FAQ Finale/1. What is the Appendix.mp4
8.9 MB
13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material-en_US.srt
7.5 kB
13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
38 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free-en_US.srt
14 kB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
72 MB
2. Google Colab/2. Uploading your own data to Google Colab-en_US.srt
12 kB
2. Google Colab/2. Uploading your own data to Google Colab.mp4
103 MB
2. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn-en_US.srt
11 kB
2. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
23 MB
3. Machine Learning and Neurons/1. Review Section Introduction-en_US.srt
3.5 kB
3. Machine Learning and Neurons/1. Review Section Introduction.mp4
7.5 MB
3. Machine Learning and Neurons/10. The Neuron-en_US.srt
12 kB
3. Machine Learning and Neurons/10. The Neuron.mp4
45 MB
3. Machine Learning and Neurons/11. How does a model learn-en_US.srt
14 kB
3. Machine Learning and Neurons/11. How does a model learn.mp4
61 MB
3. Machine Learning and Neurons/12. Making Predictions-en_US.srt
7.8 kB
3. Machine Learning and Neurons/12. Making Predictions.mp4
24 MB
3. Machine Learning and Neurons/13. Saving and Loading a Model-en_US.srt
4.7 kB
3. Machine Learning and Neurons/13. Saving and Loading a Model.mp4
42 MB
3. Machine Learning and Neurons/14. Suggestion Box-en_US.srt
4.5 kB
3. Machine Learning and Neurons/14. Suggestion Box.mp4
19 MB
3. Machine Learning and Neurons/2. What is Machine Learning-en_US.srt
18 kB
3. Machine Learning and Neurons/2. What is Machine Learning.mp4
48 MB
3. Machine Learning and Neurons/3. Code Preparation (Classification Theory)-en_US.srt
20 kB
3. Machine Learning and Neurons/3. Code Preparation (Classification Theory).mp4
38 MB
3. Machine Learning and Neurons/4. Beginner's Code Preamble-en_US.srt
6.6 kB
3. Machine Learning and Neurons/4. Beginner's Code Preamble.mp4
14 MB
3. Machine Learning and Neurons/5. Classification Notebook-en_US.srt
8.9 kB
3. Machine Learning and Neurons/5. Classification Notebook.mp4
78 MB
3. Machine Learning and Neurons/6. Exercise Predicting Diabetes Onset-en_US.srt
3.1 kB
3. Machine Learning and Neurons/6. Exercise Predicting Diabetes Onset.mp4
13 MB
3. Machine Learning and Neurons/7. Code Preparation (Regression Theory)-en_US.srt
8.5 kB
3. Machine Learning and Neurons/7. Code Preparation (Regression Theory).mp4
17 MB
3. Machine Learning and Neurons/8. Regression Notebook-en_US.srt
12 kB
3. Machine Learning and Neurons/8. Regression Notebook.mp4
49 MB
3. Machine Learning and Neurons/9. Exercise Real Estate Predictions-en_US.srt
1.6 kB
3. Machine Learning and Neurons/9. Exercise Real Estate Predictions.mp4
5.6 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction-en_US.srt
7.7 kB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
18 MB
4. Feedforward Artificial Neural Networks/10. Exercise E. Coli Protein Localization Sites-en_US.srt
2.8 kB
4. Feedforward Artificial Neural Networks/10. Exercise E. Coli Protein Localization Sites.mp4
10 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation-en_US.srt
12 kB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
26 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture-en_US.srt
11 kB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
29 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions-en_US.srt
22 kB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
60 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification-en_US.srt
11 kB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
31 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images-en_US.srt
15 kB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
43 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN)-en_US.srt
16 kB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4
32 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification-en_US.srt
9.5 kB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
59 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression-en_US.srt
13 kB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4
99 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data-en_US.srt
23 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
66 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2)-en_US.srt
14 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4
29 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence-en_US.srt
9.3 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
88 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem-en_US.srt
22 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
143 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory)-en_US.srt
5.6 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4
18 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code)-en_US.srt
4.5 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4
32 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1)-en_US.srt
15 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
58 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2)-en_US.srt
6.3 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4
28 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3)-en_US.srt
14 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
99 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast-en_US.srt
7.0 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast.mp4
16 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting-en_US.srt
12 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
26 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction-en_US.srt
14 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
98 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works-en_US.srt
4.4 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4
9.9 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks-en_US.srt
25 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
52 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation-en_US.srt
6.9 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4
12 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction-en_US.srt
11 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4
86 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes-en_US.srt
9.6 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4
76 MB
5. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1)-en_US.srt
20 kB
5. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
55 MB
6. Natural Language Processing (NLP)/1. Embeddings-en_US.srt
16 kB
6. Natural Language Processing (NLP)/1. Embeddings.mp4
33 MB
6. Natural Language Processing (NLP)/2. Code Preparation (NLP)-en_US.srt
16 kB
6. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
41 MB
6. Natural Language Processing (NLP)/3. Text Preprocessing-en_US.srt
6.0 kB
6. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
26 MB
6. Natural Language Processing (NLP)/4. Text Classification with LSTMs-en_US.srt
9.5 kB
6. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
76 MB
6. Natural Language Processing (NLP)/5. Exercise Sentiment Analysis-en_US.srt
2.5 kB
6. Natural Language Processing (NLP)/5. Exercise Sentiment Analysis.mp4
9.1 MB
7. In-Depth Loss Functions/1. Mean Squared Error-en_US.srt
11 kB
7. In-Depth Loss Functions/1. Mean Squared Error.mp4
24 MB
7. In-Depth Loss Functions/2. Binary Cross Entropy-en_US.srt
6.9 kB
7. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
13 MB
7. In-Depth Loss Functions/3. Categorical Cross Entropy-en_US.srt
9.4 kB
7. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
20 MB
8. In-Depth Gradient Descent/1. Gradient Descent-en_US.srt
9.5 kB
8. In-Depth Gradient Descent/1. Gradient Descent.mp4
21 MB
8. In-Depth Gradient Descent/2. Stochastic Gradient Descent-en_US.srt
5.3 kB
8. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
18 MB
8. In-Depth Gradient Descent/3. Momentum-en_US.srt
7.5 kB
8. In-Depth Gradient Descent/3. Momentum.mp4
26 MB
8. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates-en_US.srt
15 kB
8. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
24 MB
8. In-Depth Gradient Descent/5. Adam (pt 1)-en_US.srt
16 kB
8. In-Depth Gradient Descent/5. Adam (pt 1).mp4
55 MB
8. In-Depth Gradient Descent/6. Adam (pt 2)-en_US.srt
14 kB
8. In-Depth Gradient Descent/6. Adam (pt 2).mp4
53 MB
9. Extras/Colab Notebooks.html
4.0 kB