# Category: Deep Learning

## What Are Graph Neural Networks? How GNNs Work, Explained with Examples

Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects….

## DeepMind is developing one algorithm to rule them all

DeepMind wants to enable neural networks to emulate algorithms to get the best of both worlds, and it’s using Google…

## A Complete Guide To Tensorflow Recommenders (with Python code)

Developing comprehensive recommendation systems is a tedious and complicated effort for both novices and experts. It involves several steps starting with obtaining…

## The Machine & Deep Learning Compendium

An open knowledge-sharing project . Hi! Nearly a year ago I announced the Machine & Deep Learning Compendium, a Google…

## Predicting Stock Prices with TensorFlow

This article was published as a part of the Data Science Blogathon This is a tutorial on how to create a…

## Four Deep Learning Papers to Read in August 2021

Welcome to the August edition of the ‚Machine-Learning-Collage‘ series, where I provide an overview of the different Deep Learning research streams. So…

## Image Denoising using AutoEncoders -A Beginner’s Guide to Deep Learning Project

The noise present in the images may be caused by various intrinsic or extrinsic conditions which are practically hard to…

## Top 10 Deep Learning Applications

A technique of Machine Learning, Deep Learning is a field of Artificial Intelligence (AI) that aims to imbibe human brain…

## Cornell and Harvard University Researchers Develops Correlation Convolutional Neural Networks (CCNN): To Determine Which Correlations Are Most Important

A team of researchers from Cornell and Harvard University introduces a novel approach to parse quantum matter and make crucial…

## 7 Open Source Libraries for Deep Learning Graphs

f you’re a deep learning enthusiast you’re probably already familiar with some of the basic mathematical primitives that have been…