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Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

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File Name
Size
01. Welcome/1. Introduction and Outline.mp4
7.5 MB
01. Welcome/1. Introduction and Outline.vtt
3.2 kB
01. Welcome/2. Code-Link.txt
64 B
01. Welcome/2. Github-Link.txt
81 B
01. Welcome/2. Where to get the code.mp4
6.8 MB
01. Welcome/2. Where to get the code.vtt
6.0 kB
01. Welcome/3. How to Succeed in this Course.mp4
9.0 MB
01. Welcome/3. How to Succeed in this Course.vtt
3.9 kB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
72 MB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.vtt
13 kB
02. Google Colab/2. Uploading your own data to Google Colab.mp4
103 MB
02. Google Colab/2. Uploading your own data to Google Colab.vtt
11 kB
02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
37 MB
02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.vtt
13 kB
02. Google Colab/4. Temporary 403 Errors.mp4
32 MB
02. Google Colab/4. Temporary 403 Errors.vtt
3.2 kB
03. Machine Learning and Neurons/1. Review Section Introduction.mp4
7.5 MB
03. Machine Learning and Neurons/1. Review Section Introduction.vtt
3.2 kB
03. Machine Learning and Neurons/10. Saving and Loading a Model.mp4
42 MB
03. Machine Learning and Neurons/10. Saving and Loading a Model.vtt
4.4 kB
03. Machine Learning and Neurons/11. Suggestion Box.mp4
40 MB
03. Machine Learning and Neurons/11. Suggestion Box.vtt
4.1 kB
03. Machine Learning and Neurons/2. What is Machine Learning.mp4
48 MB
03. Machine Learning and Neurons/2. What is Machine Learning.vtt
17 kB
03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).mp4
38 MB
03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).vtt
18 kB
03. Machine Learning and Neurons/4. Classification Notebook.mp4
172 MB
03. Machine Learning and Neurons/4. Classification Notebook.vtt
24 kB
03. Machine Learning and Neurons/5. Code Preparation (Regression Theory).mp4
17 MB
03. Machine Learning and Neurons/5. Code Preparation (Regression Theory).vtt
8.0 kB
03. Machine Learning and Neurons/6. Regression Notebook.mp4
88 MB
03. Machine Learning and Neurons/6. Regression Notebook.vtt
30 kB
03. Machine Learning and Neurons/7. The Neuron.mp4
26 MB
03. Machine Learning and Neurons/7. The Neuron.vtt
11 kB
03. Machine Learning and Neurons/8. How does a model learn.mp4
61 MB
03. Machine Learning and Neurons/8. How does a model learn.vtt
13 kB
03. Machine Learning and Neurons/9. Making Predictions.mp4
24 MB
03. Machine Learning and Neurons/9. Making Predictions.vtt
7.3 kB
04. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
18 MB
04. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.vtt
7.1 kB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4
99 MB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.vtt
12 kB
04. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
26 MB
04. Feedforward Artificial Neural Networks/2. Forward Propagation.vtt
11 kB
04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
29 MB
04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.vtt
10 kB
04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
60 MB
04. Feedforward Artificial Neural Networks/4. Activation Functions.vtt
20 kB
04. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
31 MB
04. Feedforward Artificial Neural Networks/5. Multiclass Classification.vtt
9.8 kB
04. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
43 MB
04. Feedforward Artificial Neural Networks/6. How to Represent Images.vtt
14 kB
04. Feedforward Artificial Neural Networks/7. Color Mixing Clarification.mp4
2.6 MB
04. Feedforward Artificial Neural Networks/7. Color Mixing Clarification.vtt
1.0 kB
04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).mp4
32 MB
04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).vtt
14 kB
04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4
44 MB
04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.vtt
9.0 kB
05. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
43 MB
05. Convolutional Neural Networks/1. What is Convolution (part 1).vtt
18 kB
05. Convolutional Neural Networks/10. Data Augmentation.mp4
26 MB
05. Convolutional Neural Networks/10. Data Augmentation.vtt
10 kB
05. Convolutional Neural Networks/11. Batch Normalization.mp4
13 MB
05. Convolutional Neural Networks/11. Batch Normalization.vtt
6.0 kB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4
101 MB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).vtt
12 kB
05. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
14 MB
05. Convolutional Neural Networks/2. What is Convolution (part 2).vtt
6.4 kB
05. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
16 MB
05. Convolutional Neural Networks/3. What is Convolution (part 3).vtt
7.0 kB
05. Convolutional Neural Networks/4. Why use 0-indexing.mp4
201 MB
05. Convolutional Neural Networks/4. Why use 0-indexing.vtt
20 kB
05. Convolutional Neural Networks/5. Convolution on Color Images.mp4
46 MB
05. Convolutional Neural Networks/5. Convolution on Color Images.vtt
18 kB
05. Convolutional Neural Networks/6. CNN Architecture.mp4
60 MB
05. Convolutional Neural Networks/6. CNN Architecture.vtt
25 kB
05. Convolutional Neural Networks/7. CNN Code Preparation.mp4
58 MB
05. Convolutional Neural Networks/7. CNN Code Preparation.vtt
18 kB
05. Convolutional Neural Networks/8. CNN for Fashion MNIST.mp4
38 MB
05. Convolutional Neural Networks/8. CNN for Fashion MNIST.vtt
7.1 kB
05. Convolutional Neural Networks/9. CNN for CIFAR-10.mp4
26 MB
05. Convolutional Neural Networks/9. CNN for CIFAR-10.vtt
5.0 kB
06. Natural Language Processing (NLP)/1. Embeddings.mp4
36 MB
06. Natural Language Processing (NLP)/1. Embeddings.vtt
16 kB
06. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
44 MB
06. Natural Language Processing (NLP)/2. Code Preparation (NLP).vtt
16 kB
06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
59 MB
06. Natural Language Processing (NLP)/3. Text Preprocessing.vtt
21 kB
06. Natural Language Processing (NLP)/4. CNNs for Text.mp4
22 MB
06. Natural Language Processing (NLP)/4. CNNs for Text.vtt
8.8 kB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4
299 MB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.vtt
25 kB
07. Convolution In-Depth/1. Real-Life Examples of Convolution.mp4
36 MB
07. Convolution In-Depth/1. Real-Life Examples of Convolution.vtt
7.8 kB
07. Convolution In-Depth/2. Beginner's Guide to Convolution.mp4
18 MB
07. Convolution In-Depth/2. Beginner's Guide to Convolution.vtt
7.0 kB
07. Convolution In-Depth/3. Alternative Views on Convolution.mp4
22 MB
07. Convolution In-Depth/3. Alternative Views on Convolution.vtt
7.4 kB
08. Convolutional Neural Network Description/1. Convolution on 3-D Images.mp4
22 MB
08. Convolutional Neural Network Description/1. Convolution on 3-D Images.vtt
12 kB
08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.mp4
37 MB
08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.vtt
18 kB
09. Practical Tips/1. Advanced CNNs and how to Design your Own.mp4
37 MB
09. Practical Tips/1. Advanced CNNs and how to Design your Own.vtt
13 kB
10. In-Depth Loss Functions/1. Mean Squared Error.mp4
24 MB
10. In-Depth Loss Functions/1. Mean Squared Error.vtt
10 kB
10. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
13 MB
10. In-Depth Loss Functions/2. Binary Cross Entropy.vtt
6.4 kB
10. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
20 MB
10. In-Depth Loss Functions/3. Categorical Cross Entropy.vtt
8.8 kB
11. In-Depth Gradient Descent/1. Gradient Descent.mp4
21 MB
11. In-Depth Gradient Descent/1. Gradient Descent.vtt
8.8 kB
11. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
18 MB
11. In-Depth Gradient Descent/2. Stochastic Gradient Descent.vtt
4.7 kB
11. In-Depth Gradient Descent/3. Momentum.mp4
26 MB
11. In-Depth Gradient Descent/3. Momentum.vtt
6.9 kB
11. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
24 MB
11. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.vtt
13 kB
11. In-Depth Gradient Descent/5. Adam (pt 1).mp4
38 MB
11. In-Depth Gradient Descent/5. Adam (pt 1).vtt
15 kB
11. In-Depth Gradient Descent/6. Adam (pt 2).mp4
31 MB
11. In-Depth Gradient Descent/6. Adam (pt 2).vtt
12 kB
12. Appendix FAQ Intro/1. What is the Appendix.mp4
18 MB
12. Appendix FAQ Intro/1. What is the Appendix.vtt
8.1 kB
13. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.mp4
13 MB
13. Setting Up Your Environment (FAQ by Student Request)/1. Pre-Installation Check.vtt
5.7 kB
13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4
309 MB
13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.vtt
17 kB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
192 MB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
17 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4
43 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.vtt
17 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.mp4
28 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.vtt
12 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Data-Links.txt
96 B
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
25 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Get Your Hands Dirty, Practical Coding Experience, Data Links.vtt
10 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Github-Link.txt
81 B
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.mp4
30 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.vtt
5.1 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).mp4
44 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).vtt
14 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4
94 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).vtt
28 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).mp4
29 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).vtt
16 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/7. How to Uncompress a .tar.gz file.mp4
6.4 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/7. How to Uncompress a .tar.gz file.vtt
3.6 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4
108 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.vtt
13 kB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/9. Python 2 vs Python 3.mp4
10 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/9. Python 2 vs Python 3.vtt
5.5 kB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4
25 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).vtt
13 kB
15. 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
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28 kB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
135 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt
15 kB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
136 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt
21 kB
16. Appendix FAQ Finale/1. BONUS.mp4
43 MB
16. Appendix FAQ Finale/1. BONUS.vtt
7.1 kB