Articles-Collection

Collecting worthy articles along the way…

Papers-Stack

ML Fundamentals

1. A Gentle Introduction to Maximum Likelihood Estimation for Machine Learning
2. Discriminative vs Generative models - using Classification approach

Deep Learning

VAE

1. Variational Autoencoders - Intuition, Statistical motivation, Latent space, a generative model⭐
2. Variational Methods in Deep Learning
3. Intuitively Understanding Variational Autoencoders

GRU (gated recurrent units)

1. Coursera video, simplified
2. Medium - Understanding GRU Networks
3. d2l.ai - Chp 9.1 GRU

LSTM

1. Colah’s blog - Understanding LSTM Networks
2. Coursera video

Attention & Transformer

1. Coursera - Attention, Tranformer, Self-Attention, Multi-Head Attention, Transformer n/w architecture
2. YouTube; CodeEmporium - Transformer Neural Networks Explained! (Attention is all you need)