sgd-momentum
There are 14 repositories under sgd-momentum topic.
yashkant/padam-tensorflow
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge
rdspring1/Count-Sketch-Optimizers
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
hiroyuki-kasai/SimpleDeepNetToolbox
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Niranjankumar-c/GradientDescent_Implementation
Implement different variants of gradient descent in python using numpy
avnlp/hyperparameter-tuning
Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
EliaFantini/RMSProp-and-AMSGrad-for-MNIST-image-classification
Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset
nisheethjaiswal/ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD
Deep Learning Optimizers
spaceshark123/NeuralNetwork
flexible and extensible implementation of a multithreaded feedforward neural network in Java including popular optimizers, wrapped up in a console user interface
ZJEydt/CNeuron
CNeuron is a simple singular neural network neuron implementation in C, designed for easy integration into C projects.
antonio-f/Programming-assignment-Linear-models-Optimization-
Week 1 assignment form Coursera's "Advanced Machine Learning - Introduction to Deep Learning"
mahendranandi/Playing-With-Optimizers-in-DL
Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task
ngailapdi/MNIST_numpy
Implementation of a 3 layer neural net in numpy, trained and tested on MNIST dataset
srinadhu/AML_Assignments
Advance Machine Learning (CSL 712) Course Lab Assignments