Learn PyTorch for Deep Learning from Scratch

Learn PyTorch for Deep Learning from Scratch is a workshop series consisting of three parts. In the first part, we are going to present deep learning fundamentals mainly focused on Convolutional Neural Networks (CNNs). CNNs are typically composed of a sequential of neural network layers, such as convolutional layer, activation layer, pooling layer, and fully connected layer. We will demystify these layers individually and identify their usages when tackling specific research problems or application challenges.

October 11 - Part I: Deep Learning Fundamentals
October 18 - Part II: PyTorch Workflow Fundamentals
November 8 - Part III: A PyTorch Tutorial of Image Classification using Deep Learning

Register for this workshop