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…