#Adam-optimizer
Showing 8 of 8 repositories tagged #adam-optimizer, ranked by stars
A book on the mathematical foundations of AI from an engineering perspective.
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance
🌹 Rose: Range-Of-Slice Equilibration PyTorch optimizer. Stateless optimization through range-normalized gradient updates.
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Zero-dependency neural network in a single C header. Copy nerve.h, compile, done. Adam · ReLU · Dropout · Xavier/He · Neuroevolution game AI (Snake · Pong · Flappy Bird). No build system. No dependencies. Runs on Linux, macOS, Windows, and bare-metal.
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
This library provides a set of functionalities for different type of deep learning (and ML) algorithms in C
From linear regression towards neural networks...