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tanh

Here are 37 public repositories matching this topic...

BasicDNN

mmaric27 / BasicDNN

Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.

Updated May 29, 2021
Python

mmcdan13 / Neural_Network_Charity_Analysis

Deep Learning model for predicting success after donation coded in Google Colab

python deep-neural-networks deep-learning tanh googlecolab googlecolaboratory

Updated Oct 10, 2022
Jupyter Notebook

hasanur-rahman / AI-Scratch-Projects

I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.

neural-network python3 image-classification logistic-regression binary-classification tanh sigmoid-function scratch-implementation backward-propagation forward-propagation planar-classifier

Updated Aug 6, 2020
Jupyter Notebook

koryakinp / activators

Artificial Neural Networks Activation Functions

ann sigmoid tanh relu activation-functions

Updated Dec 8, 2018
C#

kobiso / GAAF-keras

GAAF implementation on Keras

activation tanh relu gradient-acceleration gaaf

Updated Aug 31, 2018
Python

atul04 / Feed-Forward-Neural-Network-Based-Classifier-Facebook-Post

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Updated Nov 6, 2018
Python

dhawal777 / Neural-Network

Neural Network implementation from scratch along with its analysis with different type of activation function and with variation in hidden layer size and depth.

neural-network jupyter-notebook matplotlib tanh sigmoid-function relu

Updated Mar 28, 2019
Jupyter Notebook

sadrasabouri / CORDIC

Implementation of CORDIC Algorithms Using Verilog

asic fpga verilog tanh cordic cordic-algorithm

Updated Apr 26, 2021
Verilog

imane-ayouni / Electricity-Production-Forecast-using-RNN-and-LSTM

Time series forecast using RNN and LSTM

time-series forecast lstm-model tanh rnn-pytorch

Updated Aug 28, 2023
Jupyter Notebook

machine_learning_smartnet_2

dserbano / machine_learning_smartnet_2

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

python machine-learning dropout neural-networks classification convolutional-neural-networks support-vector-machines multi-label-classification convolutional radial-basis-function backpropagation-algorithm softmax tanh pooling sigmoid-function relu digit-classifier lecun

Updated Feb 28, 2020
Python

cybercat37794 / Computer-Vision-and-Pattern-Recognition

This repo is created for learning about computer vision and pattern recognition

machine-learning computer-vision deep-learning neural-network tensorflow numpy gan pattern-recognition matplotlib alexnet convolutional-neural-networks sigmoid tanh relu

Updated Apr 19, 2022
Jupyter Notebook

IlkayAtes11 / Alphabet_Soup_Charity_Application_Deep_Learning_Model

deep-learning tensorflow sklearn pandas neural-networks keras-neural-networks sigmoid tanh relu googlecolab keras-tuner

Updated Mar 21, 2023
Jupyter Notebook

dlwsdqdws / MLP_Data_Classification

A data classification using MLP

data neural-network classification mlp usc softmax cross-entropy tanh mlp-classifier softmax-classifier cs561

Updated Jan 18, 2023
Python

atkamara / deeplearning

Neural-Net-Numpy(NNN) is a simple python package for training neural networks using only numpy components

machine-learning deep-learning numpy logistic-regression scratch ann cross-entropy tanh elu relu-activation full-numpy

Updated Mar 31, 2024
Jupyter Notebook

freire-guido / learnball

Exploration of teamwork in neural networks

javascript machine-learning reinforcement-learning neural-network soccer tanh

Updated Apr 30, 2023
JavaScript

kopalgarg / GAN-keras

implementing DCGANs using keras

Updated Jan 31, 2022
Jupyter Notebook

jElhamm / Activation-Functions

"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "

Updated Mar 18, 2024
Python

pkmanwani / CharacterNeuralNet

Neural networks for character recognition

neural-network sigmoid tanh

Updated Apr 28, 2017
MATLAB

unvercan / activation-function-comparison-pytorch

Comparison of common activation functions on MNIST dataset using PyTorch.

python machine-learning deep-learning neural-network numpy pytorch dataset mnist image-classification matplotlib sigmoid tanh relu activation-functions

Updated Feb 9, 2022
Python

MattMoony / ann_mnist

Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️

machine-learning deep-learning neural-network numpy ml mnist learning-algorithm regularization momentum ann adam normalization sigmoid tanh relu neural-net mnist-handwritten-digits

Updated Sep 15, 2021
Jupyter Notebook

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