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Neural Networks
In the same way that when you start programming in a new language there is a tradition of doing it with a Hello World print, in Deep Learning you start by creating a recognition model of handwritten…
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Neural Network
Neural network are sophisticated learning algorithms used for learning complex, often a non-linear machine learning model.
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Neural Networks
Artificial neural networks (ANN) are a method in artificial intelligence that teaches computers to process data in a way similar to the human brain. What Is An Artificial Neural Network (ANN) An ANN a...
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Deep Neural Networks
Introduction In this lesson we're going to see how we can build neural networks capable of learning the complex kinds of relationships deep neural nets are famous for. The key idea here is *modularit...
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Neural Networks
Define the network Let’s define this network: You just have to define the forward function, and the backward function (where gradients are computed) is automatically defined for you using autograd . Y...
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Deep Learning
Biometric authentication is a mode of verifying a user based on some part of their physical features. Authentication is different from identification, where biometrics such as fingerprint, face…
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Make it Simple: Neural Networks
This article will provide a narrative overview of neural networks in general. It will help people with or without mathematical background to apply their specific knowledge in one of the most…
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Neural Networks : More than deep learning
Neural Networks is a branch of Computational Intelligence extending far beyond deep learning. While many search for the deepest network, others are finding unique implementations and uses for…
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Recurrent Neural Networks
The goal of this article is to explore Recurrent Neural Networks in-depth, which are a kind of Neural Networks with a different architecture than the ones seen in previous articles (Link). As we have…...
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How Things Work: Artificial Neural Networks
Neural networks are, in a nutshell, a subfield of machine learning algorithms that are inspired by neurons in the human brain. Nowadays, AI technology that is powered by neural networks is…
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Convolutional Neural Networks
As you can find here, a neural network is a universal function approximator. This means that in essence, neural networks solve problems by trying to find the best possible approximation to a function…...
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Deep Neural Networks
Deep Neural Networks are neural networks with many hidden layers. The number of hidden layers in such a network can range from 3 to a few hundred. The first question that arises in our mind is, Why…
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Meet Artificial Neural Networks
When the word “Neural” is heard first thing come to my mind is neurons in the brain which is a part of decision-making process. It is one of the main characteristics which makes humans differ from…
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The Secret Behind Neural Networks
Behind every machine learning algorithm lies the bias-variance dilemma. The more complex a machine learning model, the better its capability to generalize, but the higher its tendency to overfit…
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Neural Networks — A Beginner’s Guide
Neural Networks — A Beginner’s Guide (1.1) Building intuition about Neural Networks Photo by La-Rel Easter on Unsplash Deep Learning has witnessed tremendous growth in the last decade. With applicati...
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Neural Networks (Simply Explained)
A Neural Network consist of a family of Machine Learning techniques used to model the human brain. Neural Networks are able to extract hidden patterns within data; they’re able to do this by having a…...
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Neural networks — how it works?
Today neural networks is a popular term and “must-have” for any, who are interested in machine learning. It is used everywhere! In the text and video recognition, self-driving cars, and even in the…
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Let’s Do: Neural Networks
A blow-by-blow account of building a neural network in PyTorch to predict insurance claims frequency Photo by Skye Studios on Unsplash Background In this seventh — yes, seventh— instalment on neural ...
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Artificial Intelligence: What are Neural Networks?
Have you ever used a computer, smartphone, or any digital device? Then most likely, you have experienced Artificial Intelligence. Artificial Intelligence (AI) is where a computer demonstrates…
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Neural Networks for Dummies
Member-only story Neural Networks for Dummies Arthur Mello · Follow Published in Level Up Coding · 10 min read · Just now -- Listen Share Learn how neural networks work and how to create them with Ten...
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Neural Networks: Frankle’s Miracle
TL;DR — Jonathan Frankle and Michael Carbin, of Lottery Ticket fame, and Alex Renda, have made the perfect pruner, shrinking neural networks as much as you please, without sacrificing accuracy. And…
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Recurrent Neural Networks
Up until now, we have focused primarily on fixed-length data. When introducing linear and logistic regression in Section 3 and Section 4 and multilayer perceptrons in Section 5 , we were happy to assu...
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A gentle introduction to Neural Networks
We’ve been hearing about neural networks a lot lately, but what are they really about? How do they capture the way our brains work?
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A Basic Neural Network!!
This post consists of a Basic Neural Network Implementation using TensorFlow, Keras, Numpy, and Python. TensorFlow is a free and open-source software library for dataflow and differentiable…
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