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Topic: "activation-function"

Jackpopc/aiLearnNotes

Artificial Intelligence Learning Notes.

Language: Python - Size: 638 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 273 - Forks: 60

kostas1515/AGLU

[ECCV2024 - Oral] Adaptive Parametric Activation

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 46 - Forks: 1

pouyaardehkhani/ActTensor

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

Language: Python - Size: 1.96 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 26 - Forks: 4

horrible-dong/DNRT

[ICLR 2024] Dynamic Neural Response Tuning

Language: Python - Size: 3.13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 15 - Forks: 2

howion/activation-functions

Javascript implementation of some activation functions.

Language: JavaScript - Size: 5.86 KB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 0

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.

Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3

mohit1997/PAF

Understanding DNN

Language: Python - Size: 18.7 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 3

MoinDalvs/Neural_Networks_From_Scratch

Neural_Networks_From_Scratch

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4

estija/Co-VeGAN

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

Language: Python - Size: 102 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

xyproto/swish

:white_check_mark: Optimized Swish activation function, for neural networks

Language: Go - Size: 2.37 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

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)

Language: Python - Size: 52.7 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

LaxmiChaudhary/SVHN-Deep-Neural-Network

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

Language: Jupyter Notebook - Size: 533 KB - Last synced at: 8 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 12

Adversarial-Intelligence-Group/flexnets

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

Language: Python - Size: 326 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

pacocp/spocu-pytorch

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

Language: Python - Size: 15.6 KB - Last synced at: 30 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2

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: about 1 month ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 5

aluminarius/ReLU_Plus_Plus

ReLU++: A modified ReLU activation function with enhanced performance for deep learning models.

Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

DalhousieAI/pytorch-logit-logic

Logit-space logical activation functions for pytorch

Language: Python - Size: 1.63 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

erikbuh/leaky_hardtanh

PyTorch implementation of the Leaky Hardtanh activation function

Language: Python - Size: 90.8 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mr-ravin/aptx_activation 📦

This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".

Language: Python - Size: 38.1 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

quantsareus/pytorch-learn-script-draft-for-designated-peer-reviewers-only

Pytorch Tutorial Introduction Learn Script PDF E-Book

Size: 2.88 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

priyadarshighosh/ANN_Everyday

Everything about Artificial Neural Network from Basic to Adavnced

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Feel-The-AGI/SAMActivation

Stable Adaptive Modulation Activation Function

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Deep Learning concepts practice using Cifar-10 dataset

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

rabieifk/CNN-with-CIFAR-10

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

Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

yangrussell/neural-networks

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

Language: Java - Size: 4.79 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Topics
deep-learning 16 machine-learning 12 neural-network 8 tensorflow 6 python 6 pytorch 5 deep-neural-networks 5 activation-functions 5 relu 4 neural-networks 4 logistic-regression 3 artificial-intelligence 3 gradient-descent 3 optimizer 3 keras 3 activation 3 loss-function 3 classification 3 image-classification 2 backpropagation 2 batch-normalization 2 sigmoid-function 2 python3 2 deeplearning 2 data-science 2 convolutional-neural-network 2 weight-initialization 2 dropout 2 cnn 2 swish 2 activations 2 perceptron 2 instance-segmentation 1 long-tailed-recognition 1 sigmoid-activation 1 sigmoid 1 regression-models 1 ann 1 preprocessing 1 model 1 data-preprocessing 1 cost-function 1 svm-classifier 1 svm 1 gpu 1 scikit-learn 1 object-detection 1 neural-networks-and-deep-learning 1 mlp-classifier 1 mlp 1 machinelearning 1 keras-tensorflow 1 relu-derivative 1 feature-extraction 1 relu-layer 1 back-propagation 1 hyperparameter-optimization 1 hyperparameter-tuning 1 keras-neural-networks 1 optimization-algorithms 1 dimensionality-reduction 1 arcsinh 1 introduction 1 learn 1 learning-rate 1 pdf 1 script 1 tensor 1 tutorial 1 aptx 1 aptx-activation 1 aptx-activation-function 1 aptx-function 1 deep-learning-research 1 mish 1 mish-function 1 pypi-package 1 pytorch-implementation 1 relu-activation 1 relu-function 1 research 1 swish-function 1 artificial-neural-network 1 artificial-neuron 1 biological-neuron 1 dynamic-tuning 1 iclr 1 iclr2024 1 information-aggregation 1 information-transmission 1 neural-representation 1 neural-response 1 neuronal 1 activation-code 1 activation-methods 1 ai 1 neural-network-architectures 1 python-library 1 python-package 1 tensorflow2 1