HRDF Course- Deep Learning with PyTorch

Pytorch is one of the most powerful Artificial Intelligence and Deep Learning framework in the World. Deep learning is now a new "electricity" and "superpower" that will let you build AI systems that just weren't possible a few years ago. Deep learning engineers are also highly sought after, and mastering deep learning will give you numerous new career opportunities. This course will show you how to build deep learning applications using Pytorch.

The topics include

• Installing Pytorch
• Math Operations with Pytorch
• Neural Networks with Pytorch
• Deep Learning with Pytorch
• Image Recognition with Convolutional Neural Network (CNN)
• Reinforcement Learning with Pytorch

Module 1 Getting Started

• What is Pytorch
• Install and Run Pytorch

Module 2 Basic Pytorch Operations

• Pytorch Tensors
• Numpy Bridge
• Variables
• Autograd 

Module 3 Linear Regression with Pytorch

• Linear Regression Model
• Loss Function 
• Optimizer
• Training

Module 4 Neural Network (NN)

• What is Neural Network 
• Cross Entropy Loss
• Load Datasets with Torchvision
• Create Deep Neural Network with Pytorch
• Load and Save Mode

Module 5 Convolutional Neural Network (CNN)

• What is CNN?
• CNN Architecture
• Convolution and Pooling
• Dropout
• CNN Classification
• Transfer Learning

Module 6 Recurrent Neural Network (RNN)

• What is RNN?
• RNN Architecture 
• Long Term Dependencies
• LSTM and GRU
• RNN Classification

Module 7 Reinforcement Learning (RL)

• What is Reinforcement Learning?
• Q-Learning
• OpenAI Gym
• Deep-Q Network (DQN)