Tensorflow Playground to explain the notion of Neural Network Capacity

Tensorflow Playground to explain the notion of Neural Network Capacity

Jan 14, 2021
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Abstract: Neural networks a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other. Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to failure. For a more detailed introduction to neural networks, Michael Nielsen’s Neural Networks and Deep Learning is a good place to start. For a more technical overview, try Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Authors: Daniel Smilkov, Shan Carter (Google Brain)

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