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keras-visualize-activations

Activation Maps Visualization for Keras.

levenberg_marquardt-toolbox

This is a matlab code for LM algorithm use for training Artificial Neural Network

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

matrix-multiplication

Design for 4 x 4 Matrix Multiplication using Verilog

mlproject-uci-adult-income-classification

A Machine Learning Implementation Project using R and Matlab

mmmgf

VHDL code to accelerate multiplication of matrices around (1000 x 1000) elements over small finite fields

mnist_cnn_swish

I have a Keras ReLU model that score 0.99457 on kaggle submission. I choose that model and Change all the ReLU activation to Swish. That model achieve 0.99671 .

msu

Effect of parameterizing square-based asymmetric activation functions

myonn

Code, applications, and notes from Make Your Own Neural Network by Tariq Rashid.

neural-networks-in-keras

nn

Neural network for embedded systems

nn-from-scratch

Implementing a Neural Network from Scratch

playground

This repo contains all my learning, what am passionate about and my playgrounds

playground-1

Play with neural networks!

published-work

All published Work

recurrent-batch-normalization-pytorch

PyTorch implementation of recurrent batch normalization

recurrent-neural-network

This repo contains the LSTM architecture trained on proposed Activation function

rnn-from-scratch

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

rnn-network-lstm-implementation---vhdl

sahnimanas.github.io

EfficieNN Blog

sgdlibrary

MATLAB library for stochastic optimization algorithms: Version 1.0.17

simple-ptb

Simple and concise PTB language model in TensorFlow

simplewhaledemo

snns

Tutorials and implementations for "Self-normalizing networks"

sq_rbf_paper

sqnl_paper

This repo contains the code we used for the paper titled "SQNL: A New Computationally Efficient Activation Function" presented at IEEE IJCNN (International Joint Conference on Neural Networks) 2018

stochasticity_lm

Effect of introducing stochasticity in NN convergence and helping with neuron saturation

stochasticity_paper

This repo contains the code we used for the paper titled "Stochasticity-Assisted Training in Artificial Neural Network" presented at The 25th International Conference on Neural Information Processing (ICONIP 2018)

swavenet

swish-activation