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GitHub topics: relu-layer

ahmedfgad/NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

Language: Python - Size: 2.55 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 579 - Forks: 187

mkgeiger/neural-network

Simple neural-network supporting most importent features like Convolutional-/Fully Connected network completely written in Ansi C

Language: C - Size: 65.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

anupbhowmik/Neural-Network-From-Scratch

Implementation of a neural network from scratch. The implementation includes key features such as model architecture, training, evaluation, and optimization. The project is structured to be modular and easily extensible.

Language: Jupyter Notebook - Size: 9.93 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

EPSOFT/layers

layers

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

EPSOFT/Text-Generation

Text Generation

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

luca-parisi/quantum_relu

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

Language: Python - Size: 43.9 KB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 14 - Forks: 7

Animesh-Chourey/Fashion-MNIST-Classification

For an Image Classification task on Fashion MNIST dataset, a Convolutional Neural Network is created to learn. Different combination of activation functions, weights, optimiser, learning rate and epochs are used to find an optimal set amongst them for this particular dataset.

Language: Jupyter Notebook - Size: 297 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Yashmaheshwari0502/Handwritten-Digit-Recoginition

This repository implements a neural network model for handwritten digit recognition using the MNIST dataset. It features three dense layers and requires TensorFlow, NumPy, and Matplotlib.

Language: Jupyter Notebook - Size: 7.21 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

swooshcode/Quantum_Capstone_Spring2024

Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

anshul1004/NeuralNetwork

Neural Network from scratch without any machine learning libraries

Language: Python - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

tahmid0007/Low_Pass_ReLU

Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.

Language: MATLAB - Size: 2.34 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

sharnam19/Gesture-Recognition-using-CNN

Gesture Recognition by CNN created using Networks Library created by me.

Language: Python - Size: 3.4 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

hiroyuki-kasai/SimpleDeepNetToolbox

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Language: Matlab - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 16 - Forks: 10

devildances/TwitterSentimentAnalysis_Final_Project

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

sichkar-valentyn/Neural_Networks_for_Computer_Vision

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Language: Jupyter Notebook - Size: 68.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 8

aditya9211/Super-Resolution-CNN

Super Resolution's the images by 3x using CNN

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

BupyeongHealer/2019_cau_oss_hackathon_Custom Fork of hskimhello/2019_cau_oss_hackathon

Our custom AI Pipeline on image classification for 2019 Chung-ang-University-hackathon.

Language: Jupyter Notebook - Size: 9.28 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

sharnam19/Networks

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

Language: Python - Size: 3.51 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

Mustufain/Convolution-Neural-Network-

Building Convolution Neural Networks from Scratch

Language: Python - Size: 8.84 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

bhattbhavesh91/why-is-relu-non-linear

A small walk-through to show why ReLU is non linear!

Language: Jupyter Notebook - Size: 119 KB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 5

aex-nirvael/ReLU

Backward pass of ReLU activation function for a neural network.

Language: Python - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

mb11797/Image_Recognition_Cat_vs_Non-Cat_Pytorch

A classifier to differentiate between Cat and Non-Cat Images

Language: Python - Size: 6.07 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

ankurmoh/Keras-Traffic-Signal

Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.

Language: Jupyter Notebook - Size: 424 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

riyag283/digit-recognizer-using-MNIST-dataset

Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

rishi307/Partial_ReLU

Channelwise Partial Convolutions for hardware aware applications

Language: Python - Size: 105 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

pmontalb/NeuralNetworks

Simple DNN code, adapted from Nielsen

Language: C++ - Size: 73.7 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

matheusbfernandes/mini_batch_neural_net

rede neural totalmente conectada, utilizando mini-batch gradient descent e softmax para classificação no dataset MNIST

Language: Python - Size: 15.8 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

cnavneet/notMNIST

Identifying text in images in different fonts using deep neural network techniques.

Language: Jupyter Notebook - Size: 307 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

atul04/Feed-Forward-Neural-Network-Based-Classifier-Facebook-Post

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Language: Python - Size: 12.1 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
relu-layer 29 convolutional-neural-networks 8 relu 8 neural-network 8 adam-optimizer 7 neural-networks 5 deep-neural-networks 5 tensorflow 5 relu-activation 5 softmax-layer 5 convolutional-layers 4 machine-learning 4 deep-learning 4 activation-functions 4 classification 4 numpy 4 cnn 4 computer-vision 4 machine-learning-algorithms 3 regularization 3 pytorch 3 adagrad 3 tanh 3 stochastic-gradient-descent 3 flatten 2 torch 2 quantum-machine-learning 2 pooling-max-average 2 convolutional-networks 2 quantum-algorithms 2 sgd 2 quantum 2 affine-layer 2 deep-learning-algorithms 2 convnet 2 sigmoid-function 2 convolutional-neural-network 2 image-classification 2 normalization 2 mean-square-error 2 python3 2 sigmoid-activation 2 sgd-optimizer 2 sigmoid 2 python 2 batch-normalization 2 relu-derivative 2 dropout 2 dense 2 loss-layers 1 gradient-descent 1 sub-sampling 1 resolution-cnn 1 tensorflow-models 1 upscaling 1 mse 1 padding-layer 1 cifar-10 1 cifar10 1 cifar10-experiment 1 cifar10-structure 1 cifartraining 1 cnn-architecture 1 cnn-classification 1 cnn-from-scratch 1 cnn-layers 1 convolution-filter 1 edge-detection 1 opencv 1 opencv-python 1 opencv3 1 opencv3-python 1 cvpr 1 he 1 images 1 interpolation 1 kaiming 1 psnr 1 recognizing-handwritten-digits 1 resolution 1 rmsprop 1 densenet-keras 1 digit-recognizer-kaggle 1 dropout-keras 1 minibatch-sgd 1 tensorflow2 1 cuda 1 mini-batch-gradient-descent 1 softmax-classifier 1 convolutional-lstm 1 covnet-image-classifier 1 l2-regularization 1 tensorflow-examples 1 backpropagation 1 min-max 1 decay-rate 1 encoding 1 facebook 1 feedforward-neural-network 1 hidden-layers 1