# AI News, Artificial Neural Networks/Recurrent Networks

- On Thursday, October 4, 2018
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## Artificial Neural Networks/Recurrent Networks

In a recurrent network, the weight matrix for each layer l contains input weights from all other neurons in the network, not just neurons from the previous layer.

Recurrent networks, in contrast to feed-forward networks, do have feedback elements that enable signals from one layer to be fed back to a previous layer.

A set of additional context units are added to the input layer that receive input from the hidden layer neurons.

- On Sunday, March 24, 2019

**Recurrent Neural Networks (RNN) | RNN LSTM | Deep Learning Tutorial | Tensorflow Tutorial | Edureka**

TensorFlow Training - ) This Edureka Recurrent Neural Networks tutorial video (Blog: ..

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**Multilayer Neural Network**

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**3. Hopfield Nets with Hidden Units**

Video from Coursera - University of Toronto - Course: Neural Networks for Machine Learning:

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**Radial Basis Function Artificial Neural Networks**

My web page:

**Lecture 10 - Neural Networks**

Neural Networks - A biologically inspired model. The efficient backpropagation learning algorithm. Hidden layers. Lecture 10 of 18 of Caltech's Machine ...