000			01524nam a2200277Ia 4500
020			_a9781838821654
082			_a006.31 _bATI/A
100			_aAtienza Rowel
245		0	_aAdvanced Deep Learning with TensorFlow 2 and Keras _b: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
250			_a2nd Ed.
260			_aMumbai _bPacket _c2020
300			_axi, 491p.
505			_a1 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
520			_aA 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
650			_aAdvanced Deep Learning with Keras
650			_aDeep Neural Networks
650			_aAutoencoders
650			_aGenerative Adversarial Networks (GANs)
650			_aVariational Autoencoders (VAEs)
650			_aDeep Reinforcement Learning
650			_aPolicy Gradient Methods
650			_aObject Detection
650			_aSemantic Segmentation
650			_aUnsupervised Learning Using Mutual Information
942			_cBK
999			_c1231 _d1231