Deep Learning Playground

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

Contents of the repository

Deep Learning with TensorFlow, by Big Data University

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

PyTorch Tutorials, by PyTorch

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++

TensorFlow 2 Tutorials, by TensorFlow

Folder: tensorflow_2_tutorials

Contents

• Text

  • Word Embeddings
  • Text Classification with an RNN
  • Text Generation with an RNN

• Generative
  • Deep Convolutional Generative Adversarial Network (DCGAN) - GIF -
  • DeepDream
  • Pix2Pix
  • CycleGAN

Deep Learning (for Audio) with Python, by Valerio Velardo

Folder: dl_for_audio_valerio_velardo

Contents

• Preprocessing audio data for Deep Learning

• Music Genre Classification - Preparing the dataset