Day: December 13, 2017

list of deep learning packages in R previous post – Apache Spark : steps to Start worker across cluster
Complete list of Deep Learning package in R

R Package
Description

nnet
Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.

neuralnet
Training of neural networks using backpropagation

h2o
R scripting functionality for H2O

RSNNS
Interface to the Stuttgart Neural Network Simulator (SNNS)

tensorflow
Interface to TensorFlow

deepnet
Deep learning toolkit in R

darch
Package for Deep Architectures and Restricted Boltzmann Machines

rnn
Package to implement Recurrent Neural Networks (RRNs)

FCNN4R
Interface to the FCNN library that allows user-extensible ANNs

rcppDL
Implementation of basic machine learning methods with many layers (deep learning), including dA (Denoising Autoencoder), SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and DBN (Deep Belief Nets)

deepr
Package to streamline the training, fine-tuning and predicting processes for deep learning based on darch and deepnet

MXNetR
Package that brings flexible and efficient GPU computing and state-of-art deep learning to R

Next : https://goo.gl/fxTNx1 #BigData #Analytics

In this article, I am going to explain how to create an MVC web application in ASP.NET Core 2.0 using ADO.NET. We will be creating a sample Employee Record Management System and performing CRUD operations on it.

We will be using Visual Studio 2017 (Version 15.3.5 or above) and SQL Server. https://goo.gl/sRKLh7 #DataIntegration #ML