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Neural Network Evolution Playground with Backprop NEAT | ???
| | 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.
| | matthewearl.github.io
Number plate recognition with Tensorflow - Matt's Ramblings
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| | www.analyticsvidhya.com
What is Recurrent Neural Networks (RNN)?
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| | Explore RNNs: their unique architecture, working principles, BPTT, pros/cons, and Python implementation using Keras.
| | 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 []