AI-Tutorials

A collection of tutorials on AI, deep learning and other related topics.

Machine Learning Algorithms

• K-means clustering and EM algorithm

Learning Algorithms

• Optimization algorithms
• Momentum, RMSProp, Adam Optimizer

Unsupervised Learning

PCA, Autoencoders and Variational Autoencoders (VAE)

• EigenDecomposition
• Singular Value Decomposition (SVD)
• PCA
• PCA & AutoEncoders
• Step-by-step PCA
• VAE

Generative Adversarial Networks (GAN)

• KL divergence
• Wasserstein GAN (WGAN)
• Adversarial Autoencoders
• DCGAN
• InfoGAN

Computer Vision

CNN

• Different types of convolutions
• Depthwise separable convolutions
• Inception Network
• Capsule Network

Videos

• Video Classification Methods Review
• Video Classification - CS231n
• Action Recognition Tutorial

Natural Language Processing

Classical techniques

• IBM Machine Translation Model

RNN

• Backpropagation Through Time (BPTT)
• LSTM
• Bidirectional RNN
• Attention machanism
• Transformer

Deep Learning Toolkit & Programming Languages

TensorFlow

• Pretrained modules - TensorFlow Hub
• Introduction to TensorFlow
• Save and restore

CoLab

• CoLab tutorial

R

• Parallel Processing in R