Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

By:

Atienza Rowel

Material type: Text

TextPublication details: Mumbai Packet 2020Edition: 2nd EdDescription: xi, 491pISBN:

9781838821654

Subject(s):

DDC classification:

006.31 ATI/A

Contents:

1 Introducing Advanced Deep Learning with Keras 2 Deep Neural Networks 3 Autoencoders 4 Generative Adversarial Networks (GANs) 5 Improved GANs 6 Disentangled Representation GANs 7 Cross-Domain GANs 8 Variational Autoencoders (VAEs) 9 Deep Reinforcement Learning 10 Policy Gradient Methods 11 Object Detection 12 Semantic Segmentation 13 Unsupervised Learning Using Mutual Information

Summary: A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	IIIT Kottayam Central Library General Stacks	006.31 ATI/A (Browse shelf(Opens below))	Checked out to R Vineetha Flarence (2024PHD11005)	04/11/2024	1230

Total holds: 0

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Previous	006.3 RUS/A Artificial Intelligence A Modern Approach	006.3 WEI/M Multiagent Systems	006.3 WEI/M Multiagent Systems	006.31 ATI/A Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more	006.31 BEL/M Machine Learning for Big Data :Hands-On for Developers and Technical Professionals	006.31 BEL/M Machine Learning for Big Data :Hands-On for Developers and Technical Professionals	006.31 BEL/M Machine Learning for Big Data :Hands-On for Developers and Technical Professionals	Next

1 Introducing Advanced Deep Learning with Keras
2 Deep Neural Networks
3 Autoencoders
4 Generative Adversarial Networks (GANs)
5 Improved GANs
6 Disentangled Representation GANs
7 Cross-Domain GANs
8 Variational Autoencoders (VAEs)
9 Deep Reinforcement Learning
10 Policy Gradient Methods
11 Object Detection
12 Semantic Segmentation
13 Unsupervised Learning Using Mutual Information

A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information

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