Computational Methods for Deep Learning
portes grátis
Computational Methods for Deep Learning
Theoretic, Practice and Applications
Yan, Wei Qi
Springer Nature Switzerland AG
12/2021
134
Mole
Inglês
9783030610838
15 a 20 dias
244
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Machine Learning;Pattern Analysis;Manifold Learning;Machine Vision;Reinforcement Learning;Natural Language Processing;Autoencoder;Generative Adversarial Networks;Transfer Learning;Time-Series Analysis;Calculus;Linear Algebra;Numerical Analysis;Tensor Algebra;Graphical Models;Information Theory;Optimization;Functional Analysis;Basic Algebra
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Machine Learning;Pattern Analysis;Manifold Learning;Machine Vision;Reinforcement Learning;Natural Language Processing;Autoencoder;Generative Adversarial Networks;Transfer Learning;Time-Series Analysis;Calculus;Linear Algebra;Numerical Analysis;Tensor Algebra;Graphical Models;Information Theory;Optimization;Functional Analysis;Basic Algebra
