Deep Neural Networks with PyTorch

This course will show you how to create deep learning models with Pytorch. The course will begin with Pytorch's Tensors and Automatic differentiation packages. Each section will then cover different models, starting with Linear Regression and logistic/softmax. Then comes Feedforward deep neural network, which will cover the roles of different activation functions and normalization layers. Convolutional neural networks and Transfer learning will then be covered. Several other Deep learning methods are also covered.

Learning Outcomes