Neural Networks

The Neural Network also called Artificial Neural Network (ANN). Neural network is a type of information processing in the same way that the human brain processes information, Neural networks are a group of nodes that are interconnected.

Variational autoencoder

Understanding Variational autoencoder

Contributed by: Tejas Variational autoencoder is one of the most talked-about technologies in Machine Learning. Why? What does it do? Let's start with understanding...

Backpropagation through time | Backpropagation in RNN

In this article, we will find out why we cannot train Recurrent Neural networks with the regular backpropagation and use its modified version known as the backpropagation through time.

Introduction to Resnet or Residual Network

Over the last few years, there have been a series of breakthroughs in the field of Computer Vision.Especially with the introduction of deep Convolutional neural networks, we are getting state of the...
vanishing gradient problem

The Vanishing Gradient Problem

Vanishing Gradient ProblemMethods proposed to overcome vanishing gradient problemResidual neural networksResNetRectified Linear Unit Activation FunctionConclusion Contributed by: Dinesh Introduction to Vanishing Gradient Problem

How To Apply Machine Learning to Recognise Handwriting | How to Recognise handwriting

Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors. Automated handwriting recognition can drastically cut down on the time required...