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03 PyTorch tutorial - How to create a linear regression model in PyTorch

06 PyTorch tutorial - Solving the XOR problem using PyTorch

13 PyTorch tutorial - Popular techniques to prevent the overfitting in a Neural Networks

08 PyTorch tutorial - What are data loaders and how to use them in PyTorch

11 PyTorch tutorial - How to implement AlexNet on CelebA Dataset in PyTorch

20 PyTorch tutorial - Overview of Semantic Segmentation methods

03 PyTorch tutorial - How to create a linear regression model in PyTorch

05 PyTorch tutorial - How to create a logistic regression model in PyTorch

12 PyTorch tutorial– How to apply Batch Normalization in PyTorch

07 PyTorch tutorial - What are linear classifiers and how to use them in PyTorch

04 PyTorch tutorial - How do computational graphs and autograd in PyTorch work

14 PyTorch tutorial - Multilayer Perceptrons and Shallow Neural Networks in PyTorch

10 PyTorch tutorial - What is LeNet 5 and how to implement it in PyTorch

14 PyTorch tutorial - How to create Siamese Networks and create a face recognition system

04B PyTorch tutorial - PyTorch VS Excel | Demystifying linear regression loss optimization

16. PyTorch tutorial - Residual Networks - overview

15 PyTorch tutorial - How to use TensorBoard with PyTorch