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41Publicado 2022Materias:Libro electrónico
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45Publicado 2014“…Thebook inspects an equivalent plastic strain gradient plasticity theory and a grain boundary yield model. …”
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49Publicado 2007Biblioteca de la Universidad Pontificia de Salamanca (Otras Fuentes: Biblioteca Universitat Ramon Llull)Acceso restringido con credenciales UPSA
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50Publicado 2009“…Modelación de isolíneas meteorológicas y cálculo del gradiente térmico para la ciudad de Puebla…”
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55Publicado 2013Materias:Libro electrónico
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59Publicado 2018Tabla de Contenidos: “…Generator outputs of StackedGAN -- Conclusion -- Reference -- Chapter 7: Cross-Domain GANs -- Principles of CycleGAN -- The CycleGAN Model -- Implementing CycleGAN using Keras -- Generator outputs of CycleGAN -- CycleGAN on MNIST and SVHN datasets -- Conclusion -- References -- Chapter 8: Variational Autoencoders (VAEs) -- Principles of VAEs -- Variational inference -- Core equation -- Optimization -- Reparameterization trick -- Decoder testing -- VAEs in Keras -- Using CNNs for VAEs -- Conditional VAE (CVAE) -- -VAE: VAE with disentangled latent representations -- Conclusion -- References -- Chapter 9: Deep Reinforcement Learning -- Principles of reinforcement learning (RL) -- The Q value -- Q-Learning example -- Q-Learning in Python -- Nondeterministic environment -- Temporal-difference learning -- Q-Learning on OpenAI gym -- Deep Q-Network (DQN) -- DQN on Keras -- Double Q-Learning (DDQN) -- Conclusion -- References -- Chapter 10: Policy Gradient Methods -- Policy gradient theorem -- Monte Carlo policy gradient (REINFORCE) method -- REINFORCE with baseline method -- Actor-Critic method -- Advantage Actor-Critic (A2C) method -- Policy Gradient methods with Keras -- Performance evaluation of policy gradient methods -- Conclusion -- References -- Other Books You May Enjoy -- Index…”
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