0 comments on “3 Ways to Implement Autoencoders with TensorFlow and Python”

3 Ways to Implement Autoencoders with TensorFlow and Python

In one of the previous articles, we started our journey into the world of Autoencoders. We saw that they are one special kind of neural networks, that was able to utilize techniques of supervised learning for unsupervised learning. One might…

0 comments on “Google Search Processing Algorithms – Simplified”

Google Search Processing Algorithms – Simplified

When people search for information over search engines such as Google or Yahoo, there are pages generated for every query (abbreviated as SERPs), from which Internet surfers get to choose the option that gives them the best information on what…

0 comments on “Stock Price Prediction Using Hidden Markov Model”

Stock Price Prediction Using Hidden Markov Model

Learn to predict stock prices using HMM in this article by Ankur Ankan, an open source enthusiast, and Abinash Panda, a data scientist who has worked at multiple start-ups. A Hidden Markov Model (HMM) is a specific case of the state space…

0 comments on “Implementing Restricted Boltzmann Machine with Python and TensorFlow”

Implementing Restricted Boltzmann Machine with Python and TensorFlow

In one of the previous articles, we started learning about Restricted Boltzmann Machine. It was quite a journey since we first had to figure out what energy-based models are, and then to find out how a standard Boltzmann Machine functions.…