Useful Tutorial

Matrix Calculus:

• Matrix reference manual by Mike Brookes
• The Matrix Cookbook

RBF Network:

• Radial Basis Function Network (RBFN) Tutorial by Chris McCormick
  • Some introduction on K-means used in RBFN: by Chris Piech, Scikit-learn, Andrea Trevino

Recurrent Neural Network & LSTM Networks:

• Understanding LSTM Networks by Colah
• How to Handle Very Long Sequences with Long Short-Term Memory Recurrent Neural Networks
• How to Define an Encoder-Decoder Sequence-to-Sequence Model for Neural Machine Translation in Keras
• Neural Machine Translation (seq2seq) Tutorial

Convolutional Neural Networks:

• Conv Nets: A Modular Perspective by Colah
• CS231n Convolutional Neural Networks for Visual Recognition (Tutorial)
• A guide to convolution arithmetic for deep learning by Vincent Dumoulin and Francesco Visin

Support Vector Machine:

• Implementing and Visualizing SVM in Python with CVXOPT by Hardik Goel
• A basic soft-margin kernel SVM implementation in Python by Andrew Tulloch

Convex Optimization Tools:

• CVXOPT

Adaptive Boosting & Decision Tree

• How To Implement The Decision Tree Algorithm From Scratch In Python by Jason Brownlee
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Word Embedding

• Titanic Competition Python Tutorials
• Natural Language Processing with Python– Analyzing Text with the Natural Language Toolkit
• Text Classification, Part I - Convolutional Networks by Richard's deep learning blog

Generative Adversarial Networks

• Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)
• An introduction to Generative Adversarial Networks (with code in TensorFlow)