Implementation of CORDIC Algorithms Using Verilog

Deep Learning

Simple multi layer perceptron application using feed forward back propagation algorithm

Classes Angle, GeoPos, UTM32 and some other Math functions

A data classification using MLP

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.

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

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

Neural Network from scratch without any machine learning libraries

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.

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.

Compute the hyperbolic cotangent of a number.