tanh
There are 37 repositories under tanh topic.
sadrasabouri/CORDIC
Implementation of CORDIC Algorithms Using Verilog
EPSOFT/Deep-Learning
Deep Learning
aysebilgegunduz/FeedFwBackProp
Simple multi layer perceptron application using feed forward back propagation algorithm
dlwsdqdws/MLP_Data_Classification
A data classification using MLP
OlimilO1402/Math_AngleWGS84UTM32
Classes Angle, GeoPos, UTM32 and some other Math functions
anshul1004/NeuralNetwork
Neural Network from scratch without any machine learning libraries
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.
tech-espm/pic-plantrecogniser
Implementation of an ANN for recognisement of the Iris plant-family
achyutb6/neural-network
Neural network with 2 hidden layers
cybercat37794/Computer-Vision-and-Pattern-Recognition
This repo is created for learning about computer vision and pattern recognition
jElhamm/Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
kobiso/GAAF-keras
GAAF implementation on Keras
koryakinp/activators
Artificial Neural Networks Activation Functions
mmaric27/BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
stdlib-js/math-base-special-coth
Compute the hyperbolic cotangent of a number.
stdlib-js/math-base-special-tanh
Compute the hyperbolic tangent of a number.
stdlib-js/math-iter-special-tanh
Create an iterator which evaluates the hyperbolic tangent for each iterated value.
stefan-zobel/speedy-math
Faster Java implementations of hypot, expm1, cos, sinh, cosh, tanh, asin, acos, atan and atan2
unvercan/activation-function-comparison-pytorch
Comparison of common activation functions on MNIST dataset using PyTorch.
atkamara/deeplearning
Neural-Net-Numpy(NNN) is a simple python package for training neural networks using only numpy components
dserbano/machine_learning_smartnet_2
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
freire-guido/learnball
Exploration of teamwork in neural networks
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.
MattMoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
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.
ap-atul/nn
Multi-Layer Neural Network
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
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.
imane-ayouni/Electricity-Production-Forecast-using-RNN-and-LSTM
Time series forecast using RNN and LSTM
kopalgarg/GAN-keras
implementing DCGANs using keras
mmcdan13/Neural_Network_Charity_Analysis
Deep Learning model for predicting success after donation coded in Google Colab
srinadhu/AML_Assignments
Advance Machine Learning (CSL 712) Course Lab Assignments