Deep Learning with PyTorch: Zero to GANs with Jovian

Topics: LESSON 1 - PyTorch Basics and Gradient Descent - PyTorch basics: tensors, gradients, and autograd - Linear regression & gradient descent from scratch - Using PyTorch modules: nn.Linear & nn.functional

LESSON 2 - Working with Images and Logistic Regression - Training-validation split on the MNIST dataset - Logistic regression, softmax & cross-entropy - Model training, evaluation & sample predictions

LESSON 3 - Training Deep Neural Networks on a GPU - Multilayer neural networks using nn.Module - Activation functions, non-linearity & backprop - Training models faster using cloud GPUs