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25 search results found

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Neuralnetwork.net ⭐ 472

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Ai Simplest Network ⭐ 317

The simplest form of an artificial neural network explained and demonstrated.

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Sentiment ⭐ 85

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Pathnet Pytorch ⭐ 60

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Image Classifier ⭐ 53

Final Project of the Udacity AI Programming with Python Nanodegree

Pytorch Radial Basis Function Layer ⭐ 37

An implementation of an RBF layer/module using PyTorch.

NTK reading group

Machine Learning Research Papers ⭐ 22

Collection of machine learning research paper references

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Adam Vs Sgd Numpy ⭐ 14

A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.

Deep Learning ⭐ 13

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Porthamiltoniannn ⭐ 11

Port-Hamiltonian Approach to Neural Network Training

Nim Rmad ⭐ 10

Autograd (backpropagation, reverse-mode auto differentiation) in Nim

Deepneuralnetwork ⭐ 10

Deep neural network implemented in Java from scratch, without using library/framework.

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Neural Networks in Java 8 with CuDNN and Aparapi

Neural network from scratch in Python using Numpy

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

Bayesian Gradient Descent Algorithm Model for TensorFlow

Simple Neural Network ⭐ 5

A scratch written, regressive/progressive propagation therein gradient descent aligned artificial neural network framework program of mine, that reasonably models human neuronal phenomena. (written in java; by Jordan Micah Bennett)

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