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activation-function

Here are 18 public repositories matching this topic...

Jackpopc / aiLearnNotes

Artificial Intelligence Learning Notes.

Updated Jun 21, 2022
Python

howion / activation-functions

Javascript implementation of some activation functions.

javascript machine-learning deep-learning neural-networks activation-function

Updated Nov 30, 2020
JavaScript

mohit1997 / PAF

Understanding DNN

machine-learning deep-neural-networks deep-learning polynomial approximate-algorithms activation-function

Updated Feb 24, 2020
Python

xyproto / swish

Sponsor

✅ Optimized Swish activation function, for neural networks

neural-network optimized swish activation-function

Updated Oct 18, 2019
Go

LaxmiChaudhary / SVHN-Deep-Neural-Network

Implementing an Image classification neural network to classify Street House View Numbers

deep-neural-networks deep-learning dropout batch-normalization artificial-neural-networks feedforward-neural-network deeplearning gradient-descent backpropagation knearest-neighbor-classifier activation-function

Updated Oct 25, 2019
Jupyter Notebook

SensorOrgNet / Universal_Activation_Function

Source for the paper "Universal Activation Function for machine learning"

python deep-learning tensorflow python3 pytorch activation-functions tensorflow2 activation-function universal-activation-function

Updated Dec 2, 2021
Python

estija / Co-VeGAN

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

deep-learning mri generative-adversarial-network reconstruction gans keras-models compressive-sensing mri-reconstruction complex-valued-data inverse-problem activation-function loss-function deep-complex-networks

Updated Sep 17, 2021
Python

bhattbhavesh91 / why-is-relu-non-linear

Sponsor

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

deep-learning neural-networks relu relu-layer activation-functions neural-networks-and-deep-learning activation-function relu-derivative

Updated May 28, 2021
Jupyter Notebook

pouyaardehkhani / ActTensor

ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani

Updated Jul 20, 2022
Python

MoinDalvs / Neural_Networks_From_Scratch

Neural_Networks_From_Scratch

machine-learning deep-learning neural-network tensorflow optimizer neural-networks hyperparameter-optimization classification gradient-descent hyperparameter-tuning weight-initialization keras-neural-networks optimization-algorithms back-propagation activation-functions activation-function

Updated Aug 27, 2022
Jupyter Notebook

pacocp / spocu-pytorch

📦 Non-official SPOCU activation function implementation for Pytorch and Tensorflow.

tensorflow pytorch activation-function

Updated Apr 7, 2022
Python

luca-parisi / m-arcsinh_scikit-learn_TensorFlow_Keras

m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)

Updated Nov 25, 2021
Python

mbshbn / Intro-to-Artificial-Neural-Network

step by step tutorial for ANN

logistic-regression perceptron gradient-descent backpropagation binary-classification multilayer-perceptron-network feedforward cross-entropy multilayer-neural-network activation-function

Updated Jun 16, 2020
Python

Adversarial-Intelligence-Group / flexnets

Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means

deep-neural-networks deep-learning neural-network convolution convolutional-neural-network pooling generalization activation-function maxpool2d lehmer

Updated Aug 25, 2022
Python

rabieifk / CNN-with-CIFAR-10

Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images

cnn convolutional-neural-network cnn-keras activation-function loss-function

Updated Dec 21, 2020
Python

akhileshravi / MultiLayerPerceptron

This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).

python machine-learning deep-learning neural-network machine-learning-algorithms python3 logistic-regression multi-layer-perceptron logistic-regression-algorithm sigmoid-function activation-function

Updated Jun 20, 2019
Jupyter Notebook

kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset

Deep Learning concepts practice using Cifar-10 dataset

deep-neural-networks deep-learning tensorflow keras leaky-relu elu-activation cifar-10 selu relu cifar10-classification activation-function

Updated Feb 1, 2022
Jupyter Notebook

yangrussell / neural-networks

A feedforward multilayer perceptron with gradient descent & backpropagation written from scratch in Java

neural-network artificial-intelligence perceptron activation-function

Updated Mar 14, 2020
Java

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