Deep Learning with PyTorch: Zero to GANs


Lecture 5 - Data Augmentation & Regularization Lecture 3 - Training Deep Neural Networks on a GPU Lecture 1 - PyTorch Basics & Linear Regression * PyTorch basics: tensors, gradients, and autograd * Linear regression & gradient descent from scratch * Using PyTorch modules: nn.Linear & nn.functional Course Overview, Help and FAQs Assignment 1 - All About torch.Tensor Lecture 6 - Image Generation using GANs Lecture 4 - Image Classification with Convolutiona Lecture 2 - Working with Images & Logistic Regress Course Project Assignment 2 - Train Your First Model Assignment 3 - Feed Forward Neural Networks
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