Free-form video tutorial covering deep learning with PyTorch from the ground up: PyTorch tensors and linear regression, image classification with logistic regression, training deep neural networks on a GPU, convolutional and residual networks with data augmentation and regularization, and training generative adversarial networks. Suited to programmers with basic Python who are new to deep learning frameworks.

Syllabus

Introduction.
PyTorch Basics & Linear Regression.
Image Classification with Logistic Regression.
Training Deep Neural Networks on a GPU with PyTorch.
Image Classification using Convolutional Neural Networks.
Residual Networks, Data Augmentation and Regularization.
Training Generative Adverserial Networks (GANs).