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Rowel Atienza – författare

Visar alla böcker från författaren Rowel Atienza. Handla med fri frakt och snabb leverans.

3 produkter

  1. Rowel Atienza - Advanced Deep Learning with Keras, E-bok. Tillgänglighet: Lägg i varukorg

    Advanced Deep Learning with Keras

    Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

    Av Rowel Atienza

    E-bok, 2018

    425 kr

    Lägg i varukorg

    Publisher''s Note: This edition from 2018 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 and featuring TensorFlow 2 and coverage of unsupervised learning using mutual information, object detection, …

  2. Rowel Atienza, Neeraj Verma, Valerio Maggio - Advanced Deep Learning with Keras, Häftad. Tillgänglighet: Lägg i varukorg

    Advanced Deep Learning with Keras

    Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

    Av Rowel Atienza, Neeraj Verma m. fl.

    Häftad, 2018

    590 kr

    Lägg i varukorg

    Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existenceKey FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsImplement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learningA …

  3. Rowel Atienza - Advanced Deep Learning with TensorFlow 2 and Keras, Häftad. Tillgänglighet: Lägg i varukorg

    Advanced Deep Learning with TensorFlow 2 and Keras

    Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

    Av Rowel Atienza

    Häftad, 2020

    602 kr

    Lägg i varukorg

    Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and KerasKey FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsNew coverage of unsupervised deep learning using mutual information, object detection, and …