Implementation of CORDIC Algorithms Using Verilog

Deep Learning

Simple multi layer perceptron application using feed forward back propagation algorithm

A data classification using MLP

Classes Angle, GeoPos, UTM32 and some other Math functions

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

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 from scratch without any machine learning libraries

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

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

Artificial Neural Networks Activation Functions

GAAF implementation on Keras

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

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

Comparison of common activation functions on MNIST dataset using PyTorch.

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

Compute the hyperbolic tangent of a number.

Neural network with 2 hidden layers

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