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Computational Methods for Deep Learning: Theoretic, Practice and Applications
Wei Qi Yan
(Author)
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Springer
· Paperback
Computational Methods for Deep Learning: Theoretic, Practice and Applications - Yan, Wei Qi
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Synopsis "Computational Methods for Deep Learning: Theoretic, Practice and Applications"
1. Introduction.- 2. Deep Learning Platforms.- 3. CNN and RNN.- 4. Autoencoder and GAN.- 5. Reinforcement Learning.- 6. CapsNet and Manifold Learning.- 7. Boltzmann Machines.- 8. Transfer Learning and Ensemble Learning.
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