activation-function

Here are 25 public repositories matching this topic...

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

rabieifk / CNN-with-CIFAR-10

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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

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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 networ…

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

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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

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

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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.

data-science machine-learning keras classification outliers r-language r-programming model-evaluation normalization model-development gridsearchcv deep-neural-network activation-function r-programming-language downstream-processes

Updated Jan 10, 2024
Jupyter Notebook

liuliuOD / Back-Propagation

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Implement Back Propagation in deep neural network (DNN).

deep-neural-networks deep-learning back-propagation activation-function

Updated Nov 6, 2018
Python

yangrussell / neural-networks

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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

erikbuh / leaky_hardtanh

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PyTorch implementation of the Leaky Hardtanh activation function

machine-learning neural-network pytorch activation-function

Updated Nov 20, 2022
Python

DalhousieAI / pytorch-logit-logic

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Logit-space logical activation functions for pytorch

python pytorch activation xor logit activation-functions activation-function xnor

Updated Feb 24, 2023
Python

pacocp / spocu-pytorch

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

tensorflow pytorch activation-function

Updated Apr 7, 2022
Python

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

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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

python machine-learning deep-learning experimental image-classification shallow-neural-network colab-notebook activation-function

Updated Apr 22, 2024
Jupyter Notebook

bhattbhavesh91 / why-is-relu-non-linear

Sponsor

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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

Adversarial-Intelligence-Group / flexnets

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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

luca-parisi / m_arcsinh

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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

LaxmiChaudhary / SVHN-Deep-Neural-Network

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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

KhaledAshrafH / Logistic-Regression

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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.

model logistic-regression data-preprocessing preprocessing regression-models sigmoid cost-function sigmoid-function activation-function sigmoid-activation