tanh

There are 1 repository under tanh topic.

sadrasabouri / CORDIC
Implementation of CORDIC Algorithms Using Verilog
asic cordic cordic-algorithm fpga tanh verilog
Language:Verilog 24
EPSOFT / Deep-Learning
Deep Learning
deep-learning python expit numpy scipy-special binary leakyrelu relu sigmoid tanh
Language:Python 12
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 7
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 3
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 3
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
stefan-zobel / speedy-math
Faster Java implementations of hypot, expm1, cos, sinh, cosh, tanh, asin, acos, atan and atan2
cos asin acos atan atan2 expm1 cosh tanh java fastmath
Language:Java 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
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 python elu-activation gaussian gelu leakyrelu maxout prelude relu relu-activation selu sigmoid sigmoid-activation sigmoid-activation-function swish tanh tanh-activation
Language:Python 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
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.
deep-learning dropout-rates epoch hyperparameter-optimization leaky-relu neural-network neural-network-training python regularization relu sigmoid-function tanh
1
achyutb6 / neural-network
Neural network with 2 hidden layers
neural-network machine-learning cs6363 utdallas sigmoid-function tanh relu
Language:Python 1
kobiso / GAAF-keras
GAAF implementation on Keras
gradient-acceleration relu tanh gaaf activation
Language:Python 1
koryakinp / activators
Artificial Neural Networks Activation Functions
relu tanh sigmoid activation-functions ann
Language:C# 1
mkgeiger / neural-network
Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks
adagrad adam-optimizer categorical-cross-entropy convolutional-neural-network fully-connected-network glorot-uniform image-classification leaky-relu mean-square-error momentum-optimization-algorithm neural-network relu-layer rmsprop-optimizer sgd-optimizer sigmoid softmax-layer softsign tanh backpropagation
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:Python 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:JavaScript 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:JavaScript 1
Atefeh97hmt / Activation-Functions-Visualization
This repository contains Python code that generates visualizations for various activation functions commonly used in neural networks.
leakyrelu linear relu sigmoid softmax tanh activationfunction python matplotlib numpy
Language:Python 0
freire-guido / learnball
Exploration of teamwork in neural networks
soccer machine-learning tanh javascript neural-network reinforcement-learning
Language:JavaScript 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
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
Shreyas9699 / Neural-Network-CPP
Implementation Neural Network in C++
backpropagation cpp17 gradient-descent-methods multilayer-perceptron neural-networks perceptron perceptron-neural-networks relu sigmoid tanh
Language:C++ 0
tiarmdhnt / Song-Popularity-Prediction
Predicting Song Popularity Using Neural Networks with Backpropagation Algorithm Based on Audio Features
backpropagation classification data-cleaning data-visualisation machine-learning neural-networks one-hot-encoding python sigmoid spotify-data stream-data tanh
Language:Jupyter Notebook 0
ap-atul / nn
Multi-Layer Neural Network
nn neural-network softmax tanh model neural-networks-from-scratch
Language:Python
Aymen016 / Activation-Functions-In-Perceptrons
This repository delves into the role of activation functions in perceptron-based classification models. It features a comprehensive Jupyter notebook demonstrating different activation functions, their mathematical foundations, and their impact on model performance.
activation-functions artificial-intelligence jupyter-notebook leaky-relu perceptron perceptron-learning-algorithm perceptron-neural-networks relu-network sigmoid-function tanh
Language:Jupyter Notebook
Gaurav-Van / CNN-from-scratch
Revising concepts of CNN by building them from scratch using NumPy.
artificial-neural-networks convolution convolution-neural-networks-from-scratch convolutional-neural-networks cross-correlations deep-learning mnist-dataset neural-networks partial-derivatives scratch sigmoid-function tanh
Language:Python
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
imran-ahmed377 / 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
kopalgarg / GAN-keras
implementing DCGANs using keras
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
pngo1997 / Neural-Network-Modifications-Hyperparameter-Experiments
Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.
activation deep-learning dropout-rates epoch leaky-relu neural-network neural-network-training python regularization relu sigmoid-function tanh hyperparameter-optimization
Language:Jupyter Notebook
sanjeewa999 / Activation-functions-in-Neural-Networks
An activation function in the context of neural networks is a mathematical function applied to the output of a neuron. The purpose of an activation function is to introduce non-linearity into the model, allowing the network to learn and represent complex patterns in the data.
activation-functions machine-learning neural-networks relu sigmoid tanh leaked-relu
Language:Jupyter Notebook
troublete / go-qndnn
quick 'n' dirty neural network (for practical use)
ai deep-neural-networks go machine-learning relu sigmoid tanh
Language:Go

tanh

sadrasabouri / CORDIC

EPSOFT / Deep-Learning

aysebilgegunduz / FeedFwBackProp

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

dlwsdqdws / MLP_Data_Classification

OlimilO1402 / Math_AngleWGS84UTM32

stefan-zobel / speedy-math

anshul1004 / NeuralNetwork

jElhamm / Activation-Functions

tech-espm / pic-plantrecogniser

Aashir01124 / Neural-Network-Modifications-Hyperparameter-Experiments

achyutb6 / neural-network

kobiso / GAAF-keras

koryakinp / activators

mkgeiger / neural-network

mmaric27 / BasicDNN

RPGupta30 / Activation-Functions

stdlib-js / math-base-special-coth

stdlib-js / math-base-special-tanh

stdlib-js / math-iter-special-tanh

Atefeh97hmt / Activation-Functions-Visualization

freire-guido / learnball

IlkayAtes11 / Alphabet_Soup_Charity_Application_Deep_Learning_Model

peter-strom / ML-p2-Neural_net_embedded

Shreyas9699 / Neural-Network-CPP

tiarmdhnt / Song-Popularity-Prediction

ap-atul / nn

Aymen016 / Activation-Functions-In-Perceptrons

Gaurav-Van / CNN-from-scratch

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

imran-ahmed377 / Computer-Vision-and-Pattern-Recognition

kopalgarg / GAN-keras

mmcdan13 / Neural_Network_Charity_Analysis

pngo1997 / Neural-Network-Modifications-Hyperparameter-Experiments

sanjeewa999 / Activation-functions-in-Neural-Networks

troublete / go-qndnn