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 blog.otoro.net
Collective Intelligence for Deep Learning: A Survey of Recent Developments |
| | research.google
Permutation-Invariant Neural Networks for Reinforcement Learning
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| | Posted by David Ha, Staff Research Scientist and Yujin Tang, Research Software Engineer, Google Research, Tokyo
| | algobeans.com
Convolutional Neural Networks (CNN) Introduction - Algobeans
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| | While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.
| | sirupsen.com
Neural Network From Scratch
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| | [AI summary] An educational guide explaining how to build a neural network from scratch using Python, covering concepts like layers, gradient descent, autograd, and activation functions.
| | programmathically.com
Understanding The Exploding and Vanishing Gradients Problem - Programmathically
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| Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights []