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Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition Paperback – February 28, 2020

4.4 out of 5 stars 15 ratings

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Editorial Reviews

Review

"Great visuals, code, and math. The book delivers what the deep learning practitioner needs: advanced content with replicable and reproducible results. I highly recommend this great book by Rowel Atienza."

--

Bernardo F. Nunes, PhD, Lead Data Scientist, Growth Tribe Academy



"Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition is a good and big step into an advanced practice direction. It's a brilliant book and consider this as a must-read for all."

--

Dr. Tristan Behrens, Founding Member of AI Guild and Independent Deep Learning Hands-On Adviser



"I highly recommend this book for the curious data practitioner who wants to further solidify their knowledge of deep learning. The companion GitHub code repository is very useful and provides a hassle-free way to actually experiment with the various ideas presented in the book. If you enjoy reading technical books, but also enjoy experimenting with real code, and didn't think the two could be combined effectively - this book is here to change your perspective!"

--

Danny Ma, Data Science Leader, Founder of Sydney Data Science & #DataWithDanny - an online community for aspiring data professionals

About the Author

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence and received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution in the field of active gaze tracking for human-robot interaction. His current research work focuses on AI and computer vision.


Product details

  • Item Weight : 1.92 pounds
  • Paperback : 512 pages
  • ISBN-10 : 1838821651
  • ISBN-13 : 978-1838821654
  • Product Dimensions : 7.5 x 1.16 x 9.25 inches
  • Publisher : Packt Publishing (February 28, 2020)
  • Language: : English
  • Customer Reviews:
    4.4 out of 5 stars 15 ratings

Customer reviews

4.4 out of 5 stars
4.4 out of 5
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