adadelta

🔬 Nano size Theano LSTM module

A tour of different optimization algorithms in PyTorch.

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Hands on implementation of gradient descent based optimizers in raw python

Neural Networks and optimizers from scratch in NumPy, featuring newer optimizers such as DemonAdam or QHAdam.

"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"

gradient descent optimization algorithms

Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation

Using Densenet for image classification in PyTorch

PyTorch Implementation of Optimizers for Deep Learning from scratch.

Applied LSTM algorithm on Amazon Fine Food Review Dataset

Repo for all animations created for the ML, DL and LLM courses

A deep learning classification program to detect the CT-scan results using python

Clean & dependency-free implementation of the ADADELTA algorithm in python.

Deep Learning Optimizers

Experimenting with MNIST using the MXNet machine learning framework

Coursework on global optimization methods (BGD, Adadelta)

Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task

Machine learning algorithm implemented from scratch in python