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….

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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…

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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…

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The Machine & Deep Learning Compendium

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

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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…

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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…

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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…

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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…

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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…

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Top 10 Deep Learning Algorithms One Should Know in 2021

Deep learning algorithms train machines and it uses artificial neural networks to perform sophisticated computations on large amounts of data. It…

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An Explanation of GAN with Implementation

Have you ever visited this website? The name of the website exactly matches what it does. Yes, you’ve heard it right! The…

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A guide to the field of Deep Learning

The field of Machine Learning is huge. You can easily be overwhelmed by the amount of information out there. To…

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Plant Seedlings Classification Using CNN – With Python Code

Hello Readers!! In this blog going to learn and build a CNN model to classify the species of a seedling…

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A comprehensive tutorial on Deep Learning | Part 1

Welcome readers. This is Part 1 of the Comprehensive tutorial on Deep learning. This tutorial or guide is mostly for beginners,…

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New deep learning model brings image segmentation to edge devices

A new neural network architecture designed by artificial intelligence researchers at DarwinAI and the University of Waterloo will make it…

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Convolutional Neural Networks (CNN)

In the past few decades, Deep Learning has proved to be a very powerful tool because of its ability to…

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Five GANs for Better Image Processing

Machine learning practitioners are increasingly turning to the power of generative adversarial networks (GANs) for image processing. Applications that really…

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Learn Neural Networks for Natural Language Processing Now

Still haven’t come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch…

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Decoupling Software-Hardware Dependency In Deep Learning

For at least three decades, the AI community has patiently waited for Moore’s law to catch up. With the advent…

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Reconstructing thousands of particles in one go at the CERN LHC with TensorFlow

At large colliders such as the CERN LHC (Large Hadron Collider) high energetic particle beams collide and thereby create massive and possibly…

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Invert the characteristics of Convolution with Involution

Convolution operation reigned supreme in the domain of computer vision. Deep Convolutional Neural Network Architectures are the de facto models…

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Face detection with dlib (HOG and CNN)

In this tutorial, you will learn how to perform face detection with the dlib library using both HOG + Linear…

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DeepONet: A deep neural network-based model to approximate linear and nonlinear operators

Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes…

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Can Artificial Neural Networks Create Music? – open source for you

One of the recent applications of neural networks has been in the field of art and music. Are artificial neural…

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Deep Learning Recommendation Models (DLRM): A Deep Dive

The currency in the 21st century is no longer just data. It’s the attention of people. This deep dive article…

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Best Resources to Learn Deep Learning Theory

Wondering what are the best resources to start your Deep learning journey? Here is a curated list of collections that…

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How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch

In this tutorial, we will explore graph neural networks and graph convolutions. Graphs are a super general representation of data…

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Develop a Neural Network for Cancer Survival Dataset

It can be challenging to develop a neural network predictive model for a new dataset. One approach is to first…

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Neural Network Models for Combined Classification and Regression

Some prediction problems require predicting both numeric values and a class label for the same input. A simple approach is…

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Deep fakes are now mainstream

Deep fakes have become mainstream. Here we take a closer look at recent news about deep fakes, and what it…

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How to deploy Machine Learning/Deep Learning models to the web

The full value of your deep learning models comes from enabling others to use them. Learn how to deploy your…

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Building a Mask R-CNN from scratch in TensorFlow and Keras

If you ever wanted to implement a Mask R-CNN from scratch in TensorFlow, you probably found Matterport’s implementation¹. This is…

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AI Safety In a Complex World: A Checklist By DeepMind

Modern day machine learning(ML) systems are unpredictable. Especially, deep reinforcement learning(DRL) systems. To put their actions in human understandable terms…

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Deep Learning with Python Tutorial

This video on “Python for Deep Learning” will provide you with detailed and comprehensive knowledge of Deep Learning, How it…

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Deep Learning Isn’t Deep Enough Unless It Copies From the Brain

“I believe that general-purpose AI will dominate machine intelligence in the latter part of the twenty-first century,” says Jeff Hawkins…

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Recursive Classification: Replacing Rewards with Examples in RL

A general goal of robotics research is to design systems that can assist in a variety of tasks that can…

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Evidential Deep Learning and Uncertainty

MIT Introduction to Deep Learning 6.S191: Lecture 7 Evidential Deep Learning and Uncertainty Estimation Lecturer: Alexander Amini January 2021 For…

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Novel deep learning framework for symbolic regression

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep…

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8 Best Free Resources To Learn XGBoost

GBoost or eXtreme Gradient Boosting is a popular scalable machine learning package for tree boosting. Data scientists use it extensively…

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Introduction to Long Short Term Memory (LSTM)

Long Short Term Memory Network is an advanced RNN, a sequential network, that allows information to persist. It is capable…

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Deep Learning Enables Real-Time 3D Holograms On a Smartphone

New AI technique can rapidly generate holograms with less than 1 megabyte of memory Demonstration of 2D and 3D holographic…

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Inside Multimodal Neurons, The Most Advanced Neural Networks Discovered By OpenAI

In a major breakthrough, researchers at OpenAI have discovered neural networks within AI systems resembling the neural network inside the…

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Neural Network 101 – Ultimate Guide for Beginners

“Imagine you are on a space mission to go to mars as a part of “Project Aries”. You are in…

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Top 5 Alternatives To Deep Nostalgia

Deep neural network models have witnessed significant success in modern computer vision pipelines. Deep Nostalgia utilises Generative Adversarial Networks (GANs) to animate faces in…

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Basics of Deep Learning: Forward Propagation

If there is one area in data science that has led to the growth of Machine Learning and Artificial Intelligence…

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1194 questions with answers in DEEP LEARNING

Why CNN algorithm performs well in Network Intrusion Detection based on some recent resources? Most of the papers have compared different hyperparameters…

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What’s All The Buzz About ‘Deep Nostalgia’

Deep Nostalgia uses deep learning algorithms to create animated videos from old images. As per the company’s description: “Each driver…

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Can Deep Learning Replace Numerical Weather Prediction?

Numerical weather prediction (NWP) is a mainstay of supercomputing. Some of the first applications of the first supercomputers dealt with…

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Intuition Behind Perceptron for Deep Learning

Perceptron is one of the most fundamental concepts of deep learning which every data scientist is expected to master. It…

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Deep-learning algorithm can de-noise images

Researchers have developed a deep-learning algorithm that can de-noise images to reveal otherwise invisible details. To enter the world of…

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The past, present and future of deep learning

A small story on the evolution of deep learning from the study of the human brain to building complex algorithms

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Querying Similar Images in TensorFlow | Simialr Image Querying

Imagine that you want to search for similar images to any picture. Imagine searching on the web for similar images…

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What Is A Time Series GAN?

MIT Researchers developed a deep learning framework using GANs — Time Series GAN to detect anomalies in the time series…

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IISc offers online advanced certification in deep learning

IISc offers online advanced certification in deep learning Enrolments for the first cohort are open now and classes will commence…

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Attention mechanism in Deep Learning, Explained

he idea is to keep the decoder as it is, and we just replace sequential RNN/LSTM with bidirectional RNN/LSTM in…

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Deep Learning at the Speed of Light

Deep learning, which is to say artificial neural networks with many hidden layers, is regularly stunning us with solutions to…

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How to Create Custom Real-time Plots in Deep Learning

How to generate real-time visualizations of custom metrics while training a deep learning model using Keras callbacks. What do we…

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TOP 10 DEEP LEARNING MODELS FOR BEGINNERS

Deep learning is a very important aspect to learn and understand artificial intelligence. It is a subset of machine learning…

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A neural network learns when it should not be trusted

A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes. Increasingly, artificial intelligence systems known as…

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Two Students Develop Software to Combat CO2 Caused by AI

Lasse F. Wolff Anthony and Benjamin Kanding at the University of Copenhagen’s Department of Computer Science, along with Assistant Professor…

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Deep learning in MRI beyond segmentation: Medical image reconstruction, registration, and synthesis

Deep learning in MRI beyond segmentation: Medical image reconstruction, registration, and synthesis If you believe that medical imaging and deep…

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A Guide to Deep Learning and Neural Networks

This article presented by Yulla Garillova , discusses the meaning of deep learning , difference between machine learning and deep…

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