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Introduction to Recurrent Neural Networks in Pytorch

1st December 201722nd March 2018 cpuheater 3 Comments

This tutorial is intended for someone who wants to understand how Recurrent Neural Network works, no prior knowledge about RNN is required. We will implement the most simple RNN model – Elman Recurrent Neural Network. To get a better understanding …

A Quick Introduction to PyTorch

30th November 201718th March 2018 cpuheater Leave a comment

PyTorch is an open source machine learning library for Python. In this tutorial, we will provide an introduction to the main PyTorch features, tensor library, and autograd –  automatic differentiation package.

Tensor Library

The core data structure in PyTorch is …

Machine Learning with Scala – Linear Regression

24th September 201713th January 2018 cpuheater 2 Comments

 

Linear regression is one of the most popular machine learning algorithms. It’s used when we want to predict continuous values, like predicting stock prices. In this tutorial, we will build linear regression model from scratch and train it using …

Linear Algebra for Machine Learning with Scala

24th September 201714th January 2018 cpuheater Leave a comment

In this tutorial, we will cover some basics of linear algebra. We will use ND4S – Scala bindings for ND4J, scientific computing library for the JVM.

Linear Algebra building blocks

We begin by discussing the building blocks of linear …

Learn how neural networks work with a Neural Network Simulator

27th June 201725th April 2018 cpuheater 2 Comments

Neural Network Simulator is a real feedforward neural network running in your browser. The simulator will help you understand how artificial neural network trained using backpropagation algorithm works. In this tutorial, we will explain several important concepts and techniques used …

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  • Introduction to Recurrent Neural Networks in Pytorch
  • A Quick Introduction to PyTorch
  • Machine Learning with Scala – Linear Regression
  • Linear Algebra for Machine Learning with Scala
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