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3.5 étoiles sur 5 de 992 avis
2018-10-31
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more - de Rowel Atienza (Author)
Caractéristiques Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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| Le Titre Du Livre | Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |
| Date de publication | 2018-10-31 |
| Traducteur | Paynton Haadiyah |
| Numéro de Pages | 551 Pages |
| Taille du fichier | 32.80 MB |
| Langage | Anglais & Français |
| Éditeur | Two Dollar Radio |
| ISBN-10 | 4191633529-UJX |
| Format de e-Book | AMZ PDF EPub EZW QUOX |
| Auteur | Rowel Atienza |
| Digital ISBN | 839-9046980451-DTX |
| Nom de Fichier | Advanced-Deep-Learning-with-Keras-Apply-deep-learning-techniques-autoencoders-GANs-variational-autoencoders-deep-reinforcement-learning-policy-gradients-and-more.pdf |
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Advanced Deep Learning with Keras Apply deep learning techniques autoencoders GANs variational autoencoders deep reinforcement learning policy gradients and more ebook Rowel Atienza Auteur
Advanced Deep Learning with Keras Apply deep learning techniques autoencoders GANs variational autoencoders deep reinforcement learning policy gradients and more Rowel Atienza 50 étoiles sur 5 1
Advanced Deep Learning with Keras Apply deep learning techniques autoencoders GANs variational autoencoders deep reinforcement learning policy gradients and more 9 out of 10 based on 400 ratings 900 user reviews
Using Keras youll find handson projects throughout that show you how to create effective Al with the latest techniques Professor Atienza provides an overview of MLPs CNNs and RNNs the building blocks for more advanced techniques Youll learn how to implement deep learning with Keras and Tensorflow