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Computational Methods for Deep Learning: Theoretic, Practice and Applications

Computational Methods for Deep Learning: Theoretic, Practice and Applications

Paperback

Series: Texts in Computer Science

General ComputersGeneral Mathematics

ISBN10: 3030610837
ISBN13: 9783030610838
Publisher: Springer Nature
Published: Dec 5 2021
Pages: 134
Weight: 0.50
Height: 0.33 Width: 6.14 Depth: 9.21
Language: English
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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