tanh

There are 1 repository under tanh topic.

sadrasabouri / CORDIC
Implementation of CORDIC Algorithms Using Verilog
cordic cordic-algorithm verilog tanh fpga asic
Language:Verilog 14
EPSOFT / Deep-Learning
Deep Learning
deep-learning python expit numpy scipy-special binary leakyrelu relu sigmoid tanh
Language:Python 11
aysebilgegunduz / FeedFwBackProp
Simple multi layer perceptron application using feed forward back propagation algorithm
machine-learning multilayer-perceptron deep-learning relu sigmoid-function sigmoid tanh momentum delta adaline
Language:Python 6
OlimilO1402 / Math_AngleWGS84UTM32
Classes Angle, GeoPos, UTM32 and some other Math functions
angle trigonometric gps wgs84 utm32 haversine distance google-earth kml acos asin atan cos cosh sin sinh tan tanh
Language:Visual Basic 6.0 3
anshul1004 / NeuralNetwork
Neural Network from scratch without any machine learning libraries
neural-network neural-networks machine-learning machine-learning-algorithms machine-learning-scratch neural-networks-from-scratch python python3 sigmoid-activation tanh relu sigmoid relu-layer error-handling supervised-learning uci-machine-learning breast-cancer-wisconsin data-preprocessing standardization normalization
Language:Python 2
Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch
A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.
neural-network machine-learning scratch python prediction sigmoid tanh hidden-layers
Language:Python 2
dlwsdqdws / MLP_Data_Classification
A data classification using MLP
usc cs561 mlp mlp-classifier neural-network classification data cross-entropy softmax softmax-classifier tanh
Language:Python 2
stefan-zobel / speedy-math
Faster Java implementations of hypot, expm1, cos, sinh, cosh, tanh, asin, acos, atan and atan2
acos asin atan atan2 cos cosh expm1 fastmath java tanh
Language:Java 2
tech-espm / pic-plantrecogniser
Implementation of an ANN for recognisement of the Iris plant-family
neurons sigmoid backpropagation ann propagation relu tanh
Language:Java 2
achyutb6 / neural-network
Neural network with 2 hidden layers
cs6363 machine-learning neural-network relu sigmoid-function tanh utdallas
Language:Python 1
cybercat37794 / Computer-Vision-and-Pattern-Recognition
This repo is created for learning about computer vision and pattern recognition
machine-learning deep-learning neural-network computer-vision pattern-recognition numpy matplotlib tensorflow tanh relu alexnet convolutional-neural-networks gan sigmoid
Language:Jupyter Notebook 1
jElhamm / Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
activation-functions algorithms artificial-intelligence-algorithms artificial-neural-networks elu-activation gaussian gelu leakyrelu maxout prelude python relu relu-activation selu sigmoid sigmoid-activation sigmoid-activation-function swish tanh tanh-activation
Language:Python 1
kobiso / GAAF-keras
GAAF implementation on Keras
activation gaaf gradient-acceleration relu tanh
Language:Python 1
koryakinp / activators
Artificial Neural Networks Activation Functions
relu tanh sigmoid activation-functions ann
Language:C# 1
BasicDNN
mmaric27 / BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
deep-neural-network python numpy l-layer-neural-network sigmoid relu leaky-relu tanh softmax gradient-descent mini-batch-gradient-descent adam-optimizer momentum-optimization-algorithm l2-regularization drop-out-layer weights-initialization xavier-initializer he-initializer fully-connected-network neural-network
Language:Python 1
RPGupta30 / Activation-Functions
leaky-relu sigmoid-activation softmax softsign tanh
Language:Python 1
stdlib-js / math-base-special-coth
Compute the hyperbolic cotangent of a number.
nodejs javascript stdlib node node-js mathematics math cotangent cot coth tangent tan tanh hyperbolic trig trigonometry radians angle polyfill ponyfill
Language:Makefile 1
stdlib-js / math-base-special-tanh
Compute the hyperbolic tangent of a number.
nodejs javascript stdlib node node-js mathematics math tangent tan tanh hyperbolic trig trigonometry radians angle polyfill ponyfill
Language:Makefile 1
stdlib-js / math-iter-special-tanh
Create an iterator which evaluates the hyperbolic tangent for each iterated value.
nodejs javascript stdlib node node-js mathematics math tangent tan tanh hyperbolic trig trigonometry radians angle iterator iterable iterate
Language:Makefile 1
unvercan / activation-function-comparison-pytorch
Comparison of common activation functions on MNIST dataset using PyTorch.
activation-functions dataset deep-learning image-classification machine-learning matplotlib mnist neural-network numpy python pytorch relu sigmoid tanh
Language:Python 1
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.
machine-learning neural-networks backpropagation-algorithm python convolutional convolutional-neural-networks support-vector-machines radial-basis-function digit-classifier multi-label-classification classification dropout pooling relu softmax sigmoid-function tanh lecun
Language:Python 0
freire-guido / learnball
Exploration of teamwork in neural networks
soccer machine-learning tanh javascript neural-network reinforcement-learning
Language:JavaScript 0
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.
backward-propagation binary-classification forward-propagation image-classification logistic-regression neural-network planar-classifier python3 scratch-implementation sigmoid-function tanh
Language:Jupyter Notebook 0
IlkayAtes11 / Alphabet_Soup_Charity_Application_Deep_Learning_Model
deep-learning neural-networks relu sklearn tensorflow googlecolab keras-neural-networks keras-tuner pandas sigmoid tanh
Language:Jupyter Notebook 0
MattMoony / ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
ann neural-net mnist numpy ml machine-learning learning-algorithm mnist-handwritten-digits neural-network deep-learning adam relu sigmoid tanh momentum regularization normalization
Language:Jupyter Notebook 0
peter-strom / ML-p2-Neural_net_embedded
artificial-neural-network backpropagation embedded embedded-systems feedforward gpiod neural-network raspberry-pi relu tanh
Language:C++ 0
pkmanwani / CharacterNeuralNet
Neural networks for character recognition
neural-network sigmoid tanh
Language:MATLAB 0
rishav08 / 1layer_2layer_4layer_NN
Developed Neural Network (NN) having one hidden layer, two hidden layers and four hidden layers, besides the input and output layers. Tested with Sigmoid, tanh and ReLu activation function. Used Scikit learn for pre-processing data.
machine-learning-algorithms neural-networks python3 relu scikit-learn sigmoid tanh
Language:Python 0
AP-Atul / nn
Multi-Layer Neural Network
model neural-network neural-networks-from-scratch nn softmax tanh
Language: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
feedforward-neural-network dropout backpropagation decay-rate activation-functions sigmoid-function tanh softplus relu-layer hidden-layers one hot encoding min-max normalization facebook posts likes classification minibatch-sgd
Language: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.
jupyter-notebook matplotlib neural-network relu sigmoid-function tanh
Language:Jupyter Notebook
imane-ayouni / Electricity-Production-Forecast-using-RNN-and-LSTM
Time series forecast using RNN and LSTM
forecast lstm-model rnn-pytorch tanh time-series
Language:Jupyter Notebook
kopalgarg / GAN-keras
implementing DCGANs using keras
relu tanh
Language:Jupyter Notebook
MElHuseyni / Visualization-Derivatives-of-Activation-Functions
deep-learning visualization sigmoid-function relu tanh
Language:Jupyter Notebook
mmcdan13 / Neural_Network_Charity_Analysis
Deep Learning model for predicting success after donation coded in Google Colab
deep-learning deep-neural-networks googlecolab googlecolaboratory python tanh
Language:Jupyter Notebook
srinadhu / AML_Assignments
Advance Machine Learning (CSL 712) Course Lab Assignments
adagrad adam-optimizer backpropagation leaky-relu logistic-regression lstm many-to-one music-generation numpy pytorch relu rnn sgd-momentum sigmoid tanh two-layer-neural-network
Language:Jupyter Notebook

tanh

sadrasabouri / CORDIC

EPSOFT / Deep-Learning

aysebilgegunduz / FeedFwBackProp

OlimilO1402 / Math_AngleWGS84UTM32

anshul1004 / NeuralNetwork

Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch

dlwsdqdws / MLP_Data_Classification

stefan-zobel / speedy-math

tech-espm / pic-plantrecogniser

achyutb6 / neural-network

cybercat37794 / Computer-Vision-and-Pattern-Recognition

jElhamm / Activation-Functions

kobiso / GAAF-keras

koryakinp / activators

mmaric27 / BasicDNN

RPGupta30 / Activation-Functions

stdlib-js / math-base-special-coth

stdlib-js / math-base-special-tanh

stdlib-js / math-iter-special-tanh

unvercan / activation-function-comparison-pytorch

dserbano / machine_learning_smartnet_2

freire-guido / learnball

hasanur-rahman / AI-Scratch-Projects

IlkayAtes11 / Alphabet_Soup_Charity_Application_Deep_Learning_Model

MattMoony / ann_mnist

peter-strom / ML-p2-Neural_net_embedded

pkmanwani / CharacterNeuralNet

rishav08 / 1layer_2layer_4layer_NN

AP-Atul / nn

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

dhawal777 / Neural-Network

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

kopalgarg / GAN-keras

MElHuseyni / Visualization-Derivatives-of-Activation-Functions

mmcdan13 / Neural_Network_Charity_Analysis

srinadhu / AML_Assignments