activation-function

There are 1 repository under activation-function topic.

Jackpopc / aiLearnNotes
Artificial Intelligence Learning Notes.
computer-vision machine-learning deep-learning tensorflow image-processing reinforcement-learning lenet alexnet vgg dropout activation-function hog harris sift image-denoising image-segmentation image-augmentation image-enhancement cnn dpm
Language:Python 263
pouyaardehkhani / ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
activation activation-function activation-functions activations data-science deep-learning deep-neural-networks neural-networks python tensorflow neural-network-architectures python-library python-package tensorflow2 activation-methods deeplearning python3 activation-code ai artificial-intelligence
Language:Python 19
horrible-dong / DNRT
[ICLR 2024] Dynamic Neural Response Tuning
activation-function ann artificial-neural-network deep-learning dynamic-tuning iclr iclr2024 information-aggregation machine-learning neural-representation neural-response neuronal biological-neuron information-transmission artificial-neuron
Language:Python 12
howion / activation-functions
Javascript implementation of some activation functions.
deep-learning machine-learning neural-networks activation-function javascript
Language:JavaScript 11
estija / Co-VeGAN
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
activation-function complex-valued-data compressive-sensing deep-complex-networks deep-learning gans generative-adversarial-network inverse-problem keras-models loss-function mri mri-reconstruction reconstruction
Language:Python 10
SensorOrgNet / Universal_Activation_Function
Source for the paper "Universal Activation Function for machine learning"
pytorch deep-learning tensorflow tensorflow2 activation-functions activation-function universal-activation-function python python3
Language:Python 10
mohit1997 / PAF
Understanding DNN
activation-function deep-neural-networks deep-learning machine-learning approximate-algorithms polynomial
Language:Python 8
MoinDalvs / Neural_Networks_From_Scratch
Neural_Networks_From_Scratch
activation-functions back-propagation classification gradient-descent hyperparameter-optimization hyperparameter-tuning keras-neural-networks neural-networks optimizer tensorflow weight-initialization activation-function deep-learning machine-learning neural-network optimization-algorithms
Language:Jupyter Notebook 5
xyproto / swish
:white_check_mark: Optimized Swish activation function, for neural networks
swish activation-function neural-network optimized
Language:Go 5
LaxmiChaudhary / SVHN-Deep-Neural-Network
Implementing an Image classification neural network to classify Street House View Numbers
deep-neural-networks deep-learning artificial-neural-networks knearest-neighbor-classifier batch-normalization dropout feedforward-neural-network backpropagation gradient-descent activation-function deeplearning
Language:Jupyter Notebook 4
Adversarial-Intelligence-Group / flexnets
Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means
deep-learning deep-neural-networks maxpool2d lehmer neural-network convolutional-neural-network pooling activation-function convolution generalization
Language:Python 3
luca-parisi / m_arcsinh
m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
machinelearning svm mlp mlp-classifier svm-classifier scikit-learn machine-learning arcsinh classification activation-functions activation activations activation-function python tensorflow keras keras-tensorflow neural-network feature-extraction dimensionality-reduction
Language:Python 3
bhattbhavesh91 / why-is-relu-non-linear
A small walk-through to show why ReLU is non linear!
activation-functions activation-function relu-layer relu-derivative neural-networks deep-learning neural-networks-and-deep-learning relu
Language:Jupyter Notebook 2
KhaledAshrafH / Logistic-Regression
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function
Language:Python 2
DalhousieAI / pytorch-logit-logic
Logit-space logical activation functions for pytorch
activation activation-function activation-functions logit python pytorch xnor xor
Language:Python 1
erikbuh / leaky_hardtanh
PyTorch implementation of the Leaky Hardtanh activation function
machine-learning neural-network pytorch activation-function
Language:Python 1
pacocp / spocu-pytorch
:package: Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
pytorch tensorflow activation-function
Language:Python 1
Xage0424 / Comparative-Analysis-of-Activation-Functions-in-Shallow-Neural-Networks-for-Multi-Class-Image
Comparative Analysis of Activation Functions in Shallow Neural Networks for Multi-Class Image Classification Using MNIST Digits and CIFAR-10 Datasets with Fixed Architectural Parameters
deep-learning experimental image-classification machine-learning python shallow-neural-network activation-function colab-notebook
Language:Jupyter Notebook 1
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).
machine-learning machine-learning-algorithms deep-learning activation-function neural-network multi-layer-perceptron python python3 logistic-regression logistic-regression-algorithm sigmoid-function
Language:Jupyter Notebook 0
rabieifk / CNN-with-CIFAR-10
Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
cnn cnn-keras convolutional-neural-network loss-function activation-function
Language:Python 0
yangrussell / neural-networks
A feedforward multilayer perceptron with gradient descent & backpropagation written from scratch in Java
neural-network perceptron activation-function artificial-intelligence
Language:Java 0
kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
deep-learning deep-neural-networks tensorflow keras cifar-10 leaky-relu elu-activation selu relu activation-function cifar10-classification
Language:Jupyter Notebook
liuliuOD / Back-Propagation
Implement Back Propagation in deep neural network (DNN).
activation-function back-propagation deep-learning deep-neural-networks
Language:Python
mbshbn / Intro-to-Artificial-Neural-Network
step by step tutorial for ANN
perceptron binary-classification logistic-regression activation-function cross-entropy gradient-descent backpropagation feedforward multilayer-perceptron-network multilayer-neural-network
Language:Python
RimTouny / Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R
Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.
activation-function classification data-science deep-neural-network gridsearchcv keras machine-learning model-development model-evaluation normalization outliers downstream-processes r-language r-programming r-programming-language
Language:Jupyter Notebook

activation-function

Jackpopc / aiLearnNotes

pouyaardehkhani / ActTensor

horrible-dong / DNRT

howion / activation-functions

estija / Co-VeGAN

SensorOrgNet / Universal_Activation_Function

mohit1997 / PAF

MoinDalvs / Neural_Networks_From_Scratch

xyproto / swish

LaxmiChaudhary / SVHN-Deep-Neural-Network

Adversarial-Intelligence-Group / flexnets

luca-parisi / m_arcsinh

bhattbhavesh91 / why-is-relu-non-linear

KhaledAshrafH / Logistic-Regression

DalhousieAI / pytorch-logit-logic

erikbuh / leaky_hardtanh

pacocp / spocu-pytorch

Xage0424 / Comparative-Analysis-of-Activation-Functions-in-Shallow-Neural-Networks-for-Multi-Class-Image

akhileshravi / MultiLayerPerceptron

rabieifk / CNN-with-CIFAR-10

yangrussell / neural-networks

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

liuliuOD / Back-Propagation

mbshbn / Intro-to-Artificial-Neural-Network

RimTouny / Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R