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### The Simplest Interesting (And Useful) Recurrent Neural Network

This post describes one of the simplest recurrent neural networks that exhibit interesting behaviors.

Arun Jagota is Director of Data Science at Salesforce.com. A PhD in computer science, he has taught undergraduate, graduate, and continuing education courses in Computer Science at many US Universities from 1992 through 2006. He has written a number of books, most available at Amazon.com, 50 academic publications and has 17+ patents issued.

This post describes one of the simplest recurrent neural networks that exhibit interesting behaviors.

Artificial neural networks have evolved through the ages. In this post, we cover two key anatomies that have emerged: fully-connected...

This post describes a well-known and classical algorithm for clustering known as K-means clustering. It also coveres an advanced variant...

This post will be useful to readers who’d like to understand how simple RNNs work, how an enhanced version with...

This post covered density-based clustering and explained that it is a better fit than K-means clustering to scenarios in which...

Intuitive description with example and discussion In this post, we describe an interesting and effective graph-based clustering algorithm called Markov...

In the context of supervised learning, a decision tree is a tree for predicting the output for a given input....

This post covers statistical language models from simple to elaborate. The covered models include Independent model, first-order Markov model, Kth-order...

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