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Khacef et al., 2018 - Google Patents

Confronting machine-learning with neuroscience for neuromorphic architectures design

Khacef et al., 2018

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Document ID
17109743118416337234
Author
Khacef L
Abderrahmane N
Miramond B
Publication year
Publication venue
2018 International Joint Conference on Neural Networks (IJCNN)

External Links

Snippet

Artificial neural networks are experiencing today an unprecedented interest thanks to two main changes: the explosion of open data that is necessary for their training, and the increasing computing power of today's computers that makes the training part possible in a …
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Classifications

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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
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