relu

ducha-aiki/caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

ahmedfgad/NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

cog-imperial/OMLT

Represent trained machine learning models as Pyomo optimization formulations

Islanna/DynamicReLU

Implementation of Dynamic ReLU on Pytorch

GSimas/Deep-LearningAI

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

stevenobadja/math_object_detection

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

ahmedfgad/CIFAR10CNNFlask

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

hwalsuklee/numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

11fenil11/Covid19-Detection-Using-Chest-X-Ray

Covid-19 detection in chest x-ray images using Convolution Neural Network.

dataplayer12/swish-activation

Repo for my blogs explaining swish activation function

deep-learning-algorithm/PyNet

Numpy implementation of deep learning

EPSOFT/Deep-Learning

Deep Learning

EPSOFT/layers

layers

luca-parisi/quantum_relu

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

Kaleidophon/know-your-limits

Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".

kavishsanghvi/fauna-image-classification-using-convolutional-neural-network

Convolutional neural network for classification of animal images on Animal-10 dataset

sharmaroshan/MNIST-Dataset

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.

YeongHyeon/Compare_Activation_Function

Compare vanishing gradient problem case by case.

lokhande-vishnu/DeepHermites

tejaslodaya/tensorflow-signs-cnn

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks

ThinamXx/GAN

I have prepared a Deep Convolutional Generative Adversarial Networks here.

avvineed/Convolutional-neural-network-Numpy

Convolutional Neural Network with just Numpy and no other MLLibs

aysebilgegunduz/FeedFwBackProp

Simple multi layer perceptron application using feed forward back propagation algorithm

AFAgarap/vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

Zahra-Bakhtiari/Building-Deep-Neural-Network-Step-by-Step-Instruction

building a deep neural network with as many layers as you want!

bhattbhavesh91/activiation-functions

Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function

hamk3010/Tweet-Classifier

A repository with Twitter data and tweet classifiers using several machine learning approaches to measure the accuracy and performance of the approaches on classifying tweets.🐧

kaintels/torchact

TorchAct, collection of activation function for PyTorch. https://pypi.org/project/torchact/

AIArabicProjects/DenseNet-Architicture

anshul1004/NeuralNetwork

Neural Network from scratch without any machine learning libraries

bhattbhavesh91/why-is-relu-non-linear

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

FabioSmuu/artificial.js

This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.

KarhouTam/cuda-kernels

Some common CUDA kernel implementations (Not the fastest).

KienMN/Activation-Experiments

Experiments using different activation functions.

MusaChowdhury/Approximating-Continuous-Function-With-ReLU

ReLU's Function Approximation