Compute your R 'neuralnet' neural network using cpp code

[DEPRECATED IN FAVOR OF /runyanjake/evolutions] A summer project aimed to build a multi-function simulation centered around an evolutionary neural net module (using Google TensorFlow or proprietary implementation). Concepts stem from https://www.youtube.com/watch?v=ghwXmA1s1I4 .

Implementation of Neural Processes with chainer

CAP6619 Deep Learning FAU CS master's Fall 2018

Tutorials, courses, solved exercises and examples of Deep Learning

This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

The trial about construction ML model by R and memo. Rによる機械学習モデルの構築についての試行とメモ.

Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet

Building a neural network predicting football match score

My attempt to create a framework to create and train neural networks through fitness evolution.

Functioning Conversational AI using custom models.

Implementation of a Feed Forward Neural Networks.

Feed Forward Neural Networks

Notas e experimentos em diversos métodos e algoritmos de Aprendizado de Máquina visando a criação de apontamentos acessíveis e didáticos.

In this project I have implemented the forward function of a Neural Network composed of sparsely connected layers. In order to parallelize the forward function I have built two implementation: one uses OpenMP and the other uses CUDA.

This repository contains files containing attempts at solutions to problems for lab sessions part of a lecture series prepared for a 2-week introductory course to machine learning by Etienne A.D Pienaar

Simple chatbot implementation.

Deep Learning Programming Assignment (MSE, Classifiers(Softmax, SVM), Backpropagation, Neural Network, MNIST CNN, ResNet)

Algoritmo de redes neurais desenvolvido em R, com o RStudio para previsão da taxa SELIC entre os anos de 2017 e 2020.