Compute your R 'neuralnet' neural network using cpp code
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Updated
Jun 13, 2017 - R
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.
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.
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
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.
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