Recall that the label of the decoder is now the label of this large neural network, and the label of…

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## How to Get Better Deep Learning Results (7-Day Mini-Course)

Note that we will be looking some examples from two of the three areas as part of this mini-course. Post…

Continue Reading## A gentle introduction to Neural Networks

So I came up with this idea of starting from scratch, delve into the history of the neural nets field,…

Continue Reading## Framework for Better Deep Learning

Modern deep learning libraries such as Keras allow you to define and start fitting a wide range of neural network…

Continue Reading## Simple Neural Network on MCUs

Because they are human-readable and can be easily edited for a given application. The process is as follow:In this tutorial,…

Continue Reading## Neural Networks – an Intuition

Our perceptron says it is a cricket ball. This is the most rudimentary idea behind a neural network. We connect…

Continue Reading## Making deep neural networks paint to understand how they work

Making deep neural networks paint to understand how they workParas ChopraBlockedUnblockFollowFollowingFeb 4It’s a mystery that deep learning works so well. Even…

Continue Reading## Neural Networks: The theoretical understanding

Neural Networks: The theoretical understandingAbhishek ShuklaBlockedUnblockFollowFollowingDec 28, 2018This article is for students or professionals who want to learn neural networks…

Continue Reading## Dueling Neural Networks

The Turing Test. Think of the networks as playing the guessing game of whether it is a real or fake.…

Continue Reading## Hot Dog or Not? A lesson on image classification using convolutional neural networks

That’s 43,200 numbers that it’s taking in. The hidden layer identifies edges and color clusters and much more. For example,…

Continue Reading## Build your own Neural Network-2: Our first neural network architecture

In order to do so, we need a labeled data from which the neural network can learn from. We call…

Continue Reading## Software 2.0 — Playing with Neural Networks (Part 1)

Can we say:Facilities available near to the house = (Average wealth of people living in the neighbourhood + Locality) *…

Continue Reading## A must-read tutorial when you are starting your journey with Deep Learning

Let’s calculate it. Note that there are 784 connections to each neuron from hidden layer, each combination having an associated…

Continue Reading## Everything you need to know about Neural Networks and Backpropagation — Machine Learning Made Easy and Fun

Everything you need to know about Neural Networks and Backpropagation — Machine Learning Made Easy and FunNeural Network explanation from the ground including…

Continue Reading## Intro to Deep Learning

This is essentially the machine version of “concept learning. ” You know what a concept is (for example an object,…

Continue Reading## Three Must-Own Books for Deep Learning Practitioners

Developing neural networks is often referred to as a dark art. The reason for this is that being skilled at…

Continue Reading## First neural network for beginners explained (with code)

Take all values from connected neurons multiplied by their respective weight, add them, and apply an activation function. Then, the…

Continue Reading## The Most Intuitive and Easiest Guide for Artificial Neural Network

It’s getting the gradients for each step. And with the slopes, we will update the weights as we talked above.…

Continue Reading## The concepts involved in neural network modelling for a non-specialist

The concepts involved in neural network modelling for a non-specialistFaizan AhmadBlockedUnblockFollowFollowingJan 10With so many buzzwords flying around, such as artificial…

Continue Reading## HyperNEAT: Powerful, Indirect Neural Network Evolution

HyperNEAT: Powerful, Indirect Neural Network EvolutionHyperNEAT: Powerful, Indirect Neural Network EvolutionHunter HeidenreichBlockedUnblockFollowFollowingJan 10Expanding NeuroEvolutionLast week, I wrote an article about…

Continue Reading## From raw images to real-time predictions with Deep Learning

From raw images to real-time predictions with Deep LearningFace expression recognition using Keras, Flask and OpenCVJonathan OheixBlockedUnblockFollowFollowingJan 7Photo by Peter Lloyd on UnsplashIn…

Continue Reading## Part 1: A neural network from scratch — Foundation

Part 1: A neural network from scratch — FoundationTobias HillBlockedUnblockFollowFollowingNov 27, 2018In this series of articles I will explain the inner workings…

Continue Reading## Collecting Bananas with a Deep Q-Network

Collecting Bananas with a Deep Q-NetworkControlling a simulated agent through the Unity environmentDavid RoseBlockedUnblockFollowFollowingJan 3Using a simulated Unity environment, this…

Continue Reading## NEAT: An Awesome Approach to NeuroEvolution

There’s no way to know for sure. In my reading, I came across a paper called Evolving Neural Networks through…

Continue Reading## Introduction to Regularization to Reduce Overfitting of Deep Learning Neural Networks

Training a deep neural network that can generalize well to new data is a challenging problem.A model with too little…

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