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Hopfield Neural Network
Last Updated: 05 June 2023
The Hopfield Neural Networks, invented by Dr John J. Hopfield consists of one layer of 'n' fully connected recurrent neurons. It is generally used in performing auto-assoc...read more
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Neural Network
Machine Learning
Training Neural Networks with Validation using PyTorch
Last Updated: 19 August 2021
Neural Networks are a biologically-inspired programming paradigm that deep learning is built around. Python provides various libraries using which you can create and train...read more
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Hebbian Learning Rule with Implementation of AND Gate
Last Updated: 26 November 2020
Hebbian Learning Rule, also known as Hebb Learning Rule, was proposed by Donald O Hebb. It is one of the first and also easiest learning rules in the neural network. It is...read more
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Neural Network
Machine Learning
Similar Topics
Python
18.9k+ articles
Machine Learning
1.5k+ articles
Image-Processing
770+ articles
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260+ articles
python
190+ articles
Python-projects
190+ articles
Artificial Intelligence
170+ articles
Data Mining
100+ articles
Tensorflow
70+ articles
Deep-Learning
70+ articles
Difference between ANN, CNN and RNN
Last Updated: 10 January 2023
Interview Experiences
Neural Network
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Machine Learning
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Artificial Neural Networks and its Applications
Last Updated: 02 June 2023
As you read this article, which organ in your body is thinking about it? It's the brain of course! But do you know how the brain works? Well, it has neurons or nerve cells...read more
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GBlog
Neural Network
Artificial Intelligence
Deep Neural net with forward and back propagation from scratch - Python
Last Updated: 08 June 2020
This article aims to implement a deep neural network from scratch. We will implement a deep neural network containing a hidden layer with four units and one output layer. ...read more
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Python
Neural Network
Machine Learning
Deep-Learning
Choose optimal number of epochs to train a neural network in Keras
Last Updated: 28 February 2023
One of the critical issues while training a neural network on the sample data is Overfitting. When the number of epochs used to train a neural network model is more than n...read more
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Machine Learning
Deep-Learning
Residual Networks (ResNet) - Deep Learning
Last Updated: 10 January 2023
After the first CNN-based architecture (AlexNet) that win the ImageNet 2012 competition, Every subsequent winning architecture uses more layers in a deep neural network to...read more
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Machine Learning
Deep-Learning
Understanding of LSTM Networks
Last Updated: 05 June 2023
This article talks about the problems of conventional RNNs, namely, the vanishing and exploding gradients, and provides a convenient solution to these problems in the form...read more
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Neural Network
Machine Learning
Deep-Learning
Long Short Term Memory Networks Explanation
Last Updated: 02 January 2023
Prerequisites: Recurrent Neural NetworksTo solve the problem of Vanishing and Exploding Gradients in a Deep Recurrent Neural Network, many variations were developed. One o...read more
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Machine Learning
Introduction to Recurrent Neural Network
Last Updated: 18 May 2023
In this article, we will introduce a new variation of neural network which is the Recurrent Neural Network also known as (RNN) that works better than a simple neural netwo...read more
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Neural Network
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Activation Functions
Last Updated: 23 August 2019
To put in simple terms, an artificial neuron calculates the 'weighted sum' of its inputs and adds a bias, as shown in the figure below by the net input.Mathematically,[Tex...read more
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Misc
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Engineering Mathematics
Activation functions in Neural Networks
Last Updated: 17 February 2023
It is recommended to understand Neural Networks before reading this article.In the process of building a neural network, one of the choices you get to make is what Activat...read more
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Neural Network
Machine Learning
Introduction to Convolution Neural Network
Last Updated: 24 March 2023
A Convolutional Neural Network (CNN) is a type of Deep Learning neural network architecture commonly used in Computer Vision. Computer vision is a field of Artificial Inte...read more
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Misc
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Implementing Artificial Neural Network training process in Python
Last Updated: 08 July 2022
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired the brain. ANNs, like people, learn by example. An ANN is configured for a specif...read more
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