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rmsprop

Here are 40 public repositories matching this topic...

Nasdin / ReinforcementLearning-AtariGame

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

python reinforcement-learning deep-reinforcement-learning openai-gym pytorch lstm reinforcement-learning-algorithms a3c universe adam rmsprop actor-critic asynchronous-advantage-actor-critic reinforcement-agents a3c-lstm

Updated Sep 19, 2024
Python

SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay

Updated Jan 31, 2019
Python

Arko98 / Gradient-Descent-Algorithms

A collection of various gradient descent algorithms implemented in Python from scratch

machine-learning ai deep-learning machine-learning-algorithms ml deep-learning-algorithms gradient-descent adagrad rmsprop gradient-descent-algorithm adam-optimizer nesterov-accelerated-sgd nesterov-momentum nesterov momentum-optimization-algorithm

Updated Feb 28, 2023
Python

yaricom / TimeSeriesLearning

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

deep-neural-networks deep-learning time-series recurrent-neural-networks pca-analysis rnn adagrad rmsprop leaky-relu adam-optimizer random-forest-regressor adamax

Updated Aug 16, 2016
Python

harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

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

Updated Mar 23, 2019
Python

hkproj / pytorch-llama-notes

Notes about LLaMA 2 model

study-notes rmsprop attention-is-all-you-need kv-cache rotary-position-encoding llama2

Updated Aug 30, 2023
Python

kinoute / Elyane

An OOP Deep Neural Network using a similar syntax as Keras with many hyper-parameters, optimizers and activation functions available.

python deep-learning neural-network oop dropout momentum l2-regularization rmsprop softmax adam-optimizer

Updated Jul 8, 2019
Python

melodiCyb / neural-networks

Hopfield NN, Perceptron, MLP, Complex-valued MLP, SGD RMSProp, DRAW

rmsprop complex-valued-data recursive-least-squares hopfield-neural-network deep-recurrent-network

Updated Jun 25, 2020
Python

mmahesh / variants-of-rmsprop-and-adagrad

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

python deep-neural-networks deep-learning optimization keras online-learning adagrad rmsprop stochastic-gradient-descent

Updated Oct 5, 2018
Python

ElefHead / digit_recognition

Fully connected neural network for digit classification using MNIST data

tensorflow numpy python3 mnist neural-networks classification mnist-dataset momentum rmsprop he-initializer adam-optimizer mnist-handwriting-recognition amsgrad

Updated Apr 3, 2018
Python

tansut / ml-framework

Aibrite Machine Learning Framework

machine-learning deep-learning machine-learning-algorithms test-framework neural-networks machine-learning-library machine-learning-coursera rmsprop adam-optimizer normali

Updated Mar 16, 2018
Python

soundsinteresting / RMSprop

The official implementation of the paper "RMSprop can converge with proper hyper-parameter"

rmsprop adam-algorithm beta2

Updated Jan 25, 2021
Python

pskrunner14 / neural-networks

Neural Network from Scratch with Python

neural-network numpy backpropagation rmsprop xavier-initializer softmax-classification neural-networks-from-scratch

Updated May 3, 2024
Python

Prashant-Tiwari26 / Signature-Verification-using-Siamese-Neural-Network

Siamese Neural Network used for signature verification with three different datasets

cnn pytorch image-recognition convolutional-neural-networks rmsprop siamese-neural-network

Updated Jun 3, 2024
Python

sharnam19 / Networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

neural-network mse batch-normalization convolutional-layers regularization convolutional-neural-networks gradient-descent affine-layer adagrad rmsprop xavier-initializer adam-optimizer softmax-layer relu-layer padding-layer loss-layers

Updated Oct 27, 2017
Python

being-aerys / Deep_Learning_CS535_Winter-2019

deep-learning cnn pytorch dropout batch-normalization adaptive-learning cifar10 data-augmentation adagrad rmsprop adam-optimizer

Updated May 19, 2019
Python

proafxin / Localizer

This is a tool for localizing objects in images.

python machine-learning computer-vision tensorflow jupyter-notebook yolo gradient-descent rmsprop adam-optimizer labelimg darkflow

Updated Jul 25, 2020
Python

B0s0 / Dimag

Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.

python framework ai neural-network numpy cnn neural-networks derivatives adagrad rmsprop softmax adam-optimizer sgd-optimizer numpy-neural-network nnfs sigmoid-activation relu-activation mnist-fashion-classification

Updated Oct 21, 2021
Python

prateekbhat91 / Neural-Network

Python library for neural networks.

neural-network optimizer adagrad rmsprop

Updated Dec 29, 2016
Python

somefunAgba / deeplearningWithMatlabinPy

Investigating the Behaviour of Deep Neural Networks for Classification

deep-neural-networks deep-learning optimization images dropout batch-normalization numbers classification gradient-descent backpropagation-learning-algorithm rmsprop softmax cross-entropy adamax black-and-white relu

Updated Oct 7, 2018
Python

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