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...