Abhinav Prakash - OpenGenus IQ

Converting colored images (RGB) to grayscale using Autoencoder

We built an autoencoder from scratch in TensorFlow to generate the grayscale images from colored images.

Generate new MNIST digits using Autoencoder

In this article, we will learn how autoencoders can be used to generate the popular MNIST dataset and we can use the result to enhance the original dataset.

software engineering

Reading Data from Files in Java

We will explore 5 different ways of reading files in Java BufferedReader, Scanner, StreamTokenizer, FileChannel and DataInputStream. What is the role of encodings like UTF-8 in reading data in Java? Exception/ Errors you may encounter while reading files in Java

machine learning

Different types of Autoencoders

Autoencoder is an artificial neural network used to learn efficient data codings in an unsupervised manner. There are 7 types of autoencoders, namely, Denoising autoencoder, Sparse Autoencoder, Deep Autoencoder, Contractive Autoencoder, Undercomplete, Convolutional and Variational Autoencoder.