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Natural Language Processing

Light on Math Machine Learning: Intuitive Guide to Understanding Word2vec

Here comes the third blog post in the series of light on math machine learning A–Z. This article is going to be about Word2vec algorithms. Word2vec algorithms output word vectors…

Neural Machine Translator with 50 Lines of Code + Guide

A quick intro to TensorFlow seq2seq by implementing a compact Neural Machine Translator (NMT). Essentials only, with a complete notebook…

Make CNNs for NLP Great Again! Classifying Sentences with CNNs in Tensorflow

Tired of RNNs for sentence classification? Try a clean CNN approach in TensorFlow instead. Practical notes and results inside…


Reinforcement Learning

A Paper in Thousand Words: Dueling Network Architectures for Deep Reinforcement Learning

A visual, concise walkthrough of the dueling network architecture and why it improves value-based RL stability and sample-efficiency…


Deep Learning

Thicken Your Wallet with ML: Predict Stock Price Movements with LSTMs

A tutorial on training LSTMs to forecast price movement, plus practical tips that actually improve performance…

Understanding Stochastic Gradient Descent Methods: Workhorse of Machine Learning

From momentum to Adam — how modern optimizers work and when to use which. With notebook and visuals…

Neural Architecture Search with Reinforcement Learning

Hyperparameters as a policy: using RL to discover high-performing deep nets automatically…

RA-DAE: Structurally Adaptive Deep Architecture

Research notes on a stacked autoencoder that adapts its depth and width using reinforcement signals…