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Found 3 papers, 1 papers with code
Encouraging an Appropriate Representation Simplifies Training of Neural Networks
A common assumption about neural networks is that they can learn an appropriate internal representations on their own, see e. g. end-to-end learning.
Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture
Machine learning techniques have become increasingly popular in the field of resting state fMRI (functional magnetic resonance imaging) network based classification.
Using Echo State Networks for Cryptography
The key idea is to assume that Alice and Bob share a copy of an echo state network.
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