🔬 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.

gradient descent optimization algorithms

Using Densenet for image classification in PyTorch

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

Applied LSTM algorithm on Amazon Fine Food Review Dataset

Deep Learning Optimizers

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

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

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

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

Data Structures, Algorithms and Machine Learning Optimization

Machine learning algorithm implemented from scratch in python