DesireCourse Net Udemy - Convolutional Neural Networks Mastery - Deep Learning - CNN

1. 1. Welcome Aboard/1. Why PyTorch is Powerful.mp416.97MB
2. 2. Introduction/1. Getting System Ready.mp463.26MB
3. 2. Introduction/2. Create Tensors in Pytorch.mp429.68MB
4. 2. Introduction/3. Tensor Slicing and Reshape.mp415.48MB
5. 2. Introduction/4. Mathematical Operations on Tensors.mp49.3MB
6. 2. Introduction/5. Numpy in Pytorch.mp423.51MB
7. 2. Introduction/6. What is CUDA.mp417.39MB
8. 2. Introduction/7. Pytorch on GPU.mp437.37MB
9. 3. AutoGrad in Pytorch/1. Autograd in Pytorch.mp4137.48MB
10. 3. AutoGrad in Pytorch/2. Implementing Gradient Descent using Autograd.mp428.69MB
11. 4. Creating Deep Neural Networks in Pytorch/1. Building first neural network.mp496.95MB
12. 4. Creating Deep Neural Networks in Pytorch/2. Writing Deep neural network.mp416.62MB
13. 4. Creating Deep Neural Networks in Pytorch/3. Writing Custom NN module.mp425.47MB
14. 5. CNN on Pytorch/1. Data Loading - CIFAR10.mp458.62MB
15. 5. CNN on Pytorch/2. Data Visualization.mp414MB
16. 5. CNN on Pytorch/3. CNN Recap.mp473.29MB
17. 5. CNN on Pytorch/4. First CNN.mp431.97MB
18. 5. CNN on Pytorch/5. CNN Deep layers.mp431.21MB
19. 6. LeNet Architecture in Pytorch/1. LeNet Overview.mp441.01MB
20. 6. LeNet Architecture in Pytorch/2. LeNet Model in Pytorch.mp452.44MB
21. 6. LeNet Architecture in Pytorch/3. Preparation & Evaluation.mp442.08MB
22. 7. Bonus Access/2. Linear Algebra for Data Science.mp446.88MB
23. 7. Bonus Access/3. Deep Learning Calculus.mp442.13MB
24. 7. Bonus Access/4. Deep Learning from Scratch using Tensorflow - Keras.mp438.08MB