guanlongtianzi / deep-learning-wizard

Open source guides for mastering deep learning to deploying deep learning in production in PyTorch.

Deep Learning Materials by Deep Learning Wizard

Start Learning Now

Please head to www.deeplearningwizard.com to start learning! It is mobile and tablet friendly!

Repository Details

This repository contains all the notesbooks and mkdocs markdown files of the tutorials covering machine learning, deep learning, scalable database, programming, data processing and data visualization powering the website.

Sections and Subsections

• Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy and Matplotlib)
  • Course Progression
  • Matrices
  • Gradients
  • Linear Regression
  • Logistic Regression
  • Feedforward Neural Network
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Long Short-Term Memory (LSTM) network
  • Derivative, Gradient and Jacobian
  • Forwardpropagation, Backpropagation and Gradient Descent
  • Learning Rate Scheduling
  • Optimization Algorithms
  • Weight Initialization and Activation Functions
  • Supervised to Reinforcement Learning
  • Markov Decision Processes and Bellman Equations
  • Dynamic Programming
• Scalable Database Tutorials (Libraries: Apache Cassandra, Bash and Python)
  • Apache Cassandra Cluster Setup

Always Latest PyTorch Version

We always provide the latest PyTorch version (0.4/1.0) so that you will be learning up-to-date code!

About Deep Learning Wizard

We deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly. We have open-sourced all our materials through our Deep Learning Wizard Wikipedia. For visual learners, feel free to sign up for our video course and join over 2300 deep learning wizards.

To this date, we have taught thousands of students across more than 120+ countries from students as young as 15 to postgraduates and professionals in leading MNCs and research institutions around the world.

Contribution

We are openly calling people to contribute to this repository for errors. Feel free to create a pull request.

Main Contributor

Ritchie Ng

Editors and Supporters

• Jie Fu, Editor (Postdoc in Montreal Institute for Learning Algorithms (MILA))
• Alfredo Canziani, Supporter (Postdoc in NYU under Yann Lecun)
• Marek Bardonski, Supporter (Global Head of Deep Learning, Sigmoidal)

Bugs and Improvements

Feel free to report bugs and improvements via issues. Or just simply try to pull to make any improvements/corrections.

Citation

If you find the materials useful, like the diagrams or content, feel free to cite this repository.