Deep Learning Playground

This repository contains course materials, tutorials and examples about Deep Learning using TensorFlow and PyTorch.

Contents of the repository

Folder: dl_tf_BDU

Contents

Module 1 - Introduction to TensorFlow
- HelloWorld with TensorFlow
- Linear Regression
- Nonlinear Regression
- Logistic Regression
- Activation Functions
Module 2 – Convolutional Neural Networks (CNN)
- Understanding CNNs
- CNN Application
Module 3 – Recurrent Neural Networks (RNN)
- Intro to RNN Model
- Long Short-Term memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
Module 4 - Unsupervised Learning
- Applications of Unsupervised Learning
- Restricted Boltzmann Machine
- Collaborative Filtering with RBM
Module 5 - Autoencoders
- Introduction to Autoencoders and Applications
- Autoencoders
- Deep Belief Network

Folder: pytorch_tutorials

Contents

Getting started
- Deep Learning with PyTorch: A 60 Minute Blitz
- Data Loading and Processing Tutorial
- Learning PyTorch with Examples
- Transfer Learning Tutorial
- Deploying a Seq2Seq Model with the Hybrid Frontend
- Saving and Loading Models
Image
- Finetuning Torchvision Models
- Spatial Transformer Networks Tutorial
- Neural Transfer Using PyTorch
- Adversarial Example Generation
- Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX
Generative
- DCGAN Tutorial
Production usage
- Writing Distributed Applications with PyTorch
- ONNX Live Tutorial
- Loading a PyTorch Model in C++

Folder: tensorflow_2_tutorials

Contents