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URL: https://github.com/topics/tanh

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tanh

Here are 47 public repositories matching this topic...

sadrasabouri / CORDIC

Implementation of CORDIC Algorithms Using Verilog

asic fpga verilog tanh cordic cordic-algorithm

Updated
Verilog

EPSOFT / Deep-Learning

Deep Learning

python deep-learning binary numpy sigmoid tanh relu expit leakyrelu scipy-special

Updated
Python

aysebilgegunduz / FeedFwBackProp

Simple multi layer perceptron application using feed forward back propagation algorithm

machine-learning deep-learning delta momentum adaline sigmoid tanh multilayer-perceptron sigmoid-function relu

Updated
Python

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
Python

OlimilO1402 / Math_AngleWGS84UTM32

Classes Angle, GeoPos, UTM32 and some other Math functions

distance gps angle haversine kml asin cos google-earth wgs84 tanh acos tan sin atan trigonometric sinh cosh utm32

Updated
Visual Basic 6.0

jElhamm / Activation-Functions

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

python algorithms swish gaussian artificial-neural-networks prelude artificial-intelligence-algorithms maxout sigmoid tanh elu-activation selu relu activation-functions gelu sigmoid-activation relu-activation tanh-activation leakyrelu sigmoid-activation-function

Updated
Python

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.

python machine-learning neural-network prediction scratch hidden-layers sigmoid tanh

Updated
Python

tech-espm / pic-plantrecogniser

Implementation of an ANN for recognisement of the Iris plant-family

neurons ann propagation backpropagation sigmoid tanh relu

Updated
Java

stefan-zobel / speedy-math

Faster Java implementations of hypot, expm1, cos, sinh, cosh, tanh, asin, acos, atan and atan2

java asin cos tanh acos atan atan2 cosh fastmath expm1

Updated
Java

anshul1004 / NeuralNetwork

Neural Network from scratch without any machine learning libraries

python machine-learning neural-network machine-learning-algorithms python3 error-handling neural-networks supervised-learning standardization data-preprocessing breast-cancer-wisconsin normalization machine-learning-scratch uci-machine-learning sigmoid tanh relu relu-layer neural-networks-from-scratch sigmoid-activation

Updated
Python

koryakinp / activators

Artificial Neural Networks Activation Functions

ann sigmoid tanh relu activation-functions

Updated
C#

mmaric27 / BasicDNN

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

python neural-network numpy gradient-descent l2-regularization softmax fully-connected-network sigmoid tanh he-initializer xavier-initializer leaky-relu adam-optimizer mini-batch-gradient-descent relu deep-neural-network l-layer-neural-network weights-initialization momentum-optimization-algorithm drop-out-layer

Updated
Python

kobiso / GAAF-keras

GAAF implementation on Keras

activation tanh relu gradient-acceleration gaaf

Updated
Python

Aashir01124 / Neural-Network-Modifications-Hyperparameter-Experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

python deep-learning neural-network hyperparameter-optimization regularization epoch tanh leaky-relu sigmoid-function relu neural-network-training dropout-rates

Updated

mkgeiger / neural-network

Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks

neural-network image-classification convolutional-neural-network backpropagation adagrad fully-connected-network sigmoid tanh leaky-relu adam-optimizer categorical-cross-entropy softmax-layer relu-layer sgd-optimizer mean-square-error momentum-optimization-algorithm softsign glorot-uniform rmsprop-optimizer

Updated
C

RPGupta30 / Activation-Functions

softmax tanh leaky-relu sigmoid-activation softsign

Updated
Python

stdlib-js / math-base-special-tanh

Compute the hyperbolic tangent of a number.

nodejs javascript polyfill node trigonometry math stdlib mathematics angle ponyfill node-js radians tanh trig tan tangent hyperbolic

Updated
JavaScript

achyutb6 / neural-network

Neural network with 2 hidden layers

machine-learning neural-network tanh sigmoid-function relu utdallas cs6363

Updated
Python

stdlib-js / math-base-special-coth

Compute the hyperbolic cotangent of a number.

nodejs javascript polyfill node trigonometry math stdlib mathematics angle ponyfill node-js radians tanh trig tan cot tangent hyperbolic cotangent coth

Updated
Python

stdlib-js / math-iter-special-tanh

Create an iterator which evaluates the hyperbolic tangent for each iterated value.

nodejs javascript node trigonometry math stdlib iterator mathematics angle node-js iterable radians iterate tanh trig tan tangent hyperbolic

Updated
JavaScript

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