Deep Learning with PyTorch

Topic 1 Overview of Deep Learning and Pytorch

Overview of Deep Learning

Introduction to Pytorch

Install and Run Pytorch

Basic Pytorch Tensor Operations

Computation Graphs

Compute Gradients with Autograd

Topic 2 Neural Network for Regression

Introduction to Neural Network (NN)

Activation Function

Loss Function and Optimizer

Machine Learning Methodology

Build a NN Predictive Regression Model

Load and Save Model

Topic 3 Neural Network for Classification

Softmax

Cross Entropy Loss Function

Build a NN Classification Model

Topic 4 Convolutional Neural Network (CNN)

Overview of CNN

Convolution, Max Pooling and Padding

Build a CNN Model for Image Classificaiton

Overfitting Issue with Small Dataset

Techniques to overcome Overfitting Issue

Topic 5 Transfer Learning

Introduction to Transfer Learning

Pre-trained Models

Feature Extraction & Fine Tuning for Small Dataset

Topic 6 Recurrent Neural Network (RNN)

Overview of RNN

Long Term Dependencies

LSTM and GRU

Apply LSTM to Time Series Forecasting