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2019-blu

Bendable linear units for neural networks in Keras.

activation-functions

This is a repository containing the new activation function proposed during the cause of my PhD

activation_functions

step, sigmoid, relu, softmax, softplus, tanh, prelu, elu, swish activation functions for deep neural networks

alexnet

custom implementation alexnet with tensorflow

all-conv-keras

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

ann-vhdl

approximation_af

This repository contains all the different approximations method in literature for hardware implementation of bipolar nonlinear function. Focus is on Tanh activation function. Codes are initially written in python, MATLAB and then the VHDL description language is use for hardware implementation of this approximation methods

autoencoder

This repo contains the Keras code for fully connected autoencoder found in several articles.

awur978.github.io

Website Address:

cifar-10-cnn

Play deep learning with CIFAR datasets

cmsis_5

CMSIS Version 5 Development Repository

cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

convolution-using-systolic-arrays

cs231n

Solved Homework Assignments

datacamp_tutorials

deep_study

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dlink

Deep Learning with Keras and TensorFlow

echo

Python package containing all custom and SOTA mathematical backend algorithms used in Machine Learning.

elu-paper-research

Recreation of the networks from the ELU paper

github-actions-for-ci

github-markdown-toc

Easy TOC creation for GitHub README.md

gridsearchcv-with-keras-sklearn

hardware_activation-functions

This contains all the VHDL code used for our novel Activation Functions

hardware_neural_net

Artificial Neural Network in hardware

hello-world

This is my first repository

importance-sampling

Code for experiments regarding importance sampling for training neural networks

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

keras

Deep Learning for humans

keras-nasnet

"NASNet" models in Keras 2.0+ with weights