Dive into deep learning / Aston Zhang (Amazon Web Services), Zachary C. Lipton (Carnegie Mellon University, Pennsylvania), Mu Li (Amazon Web Services), Alexander J. Smola (Amazon Web Services).

By:

Zhang, Aston [author.]

Contributor(s):

Material type:

TextPublication details: New York: Cambridge University Press, 2024Description: pages cmISBN:

9781009389433

Subject(s):

Deep learning (Machine learning)

DDC classification:

006.31 23 D6181

Summary: "This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online"--

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Holdings
Item type	Current library	Call number	Vol info	Copy number	Status	Barcode
Books	Library, Independent University, Bangladesh (IUB) Reference Stacks	006.31 D6181 (Browse shelf(Opens below))	2024	01	Not For Loan	029567
Books	Library, Independent University, Bangladesh (IUB) Reference Stacks	006.31 D6181 (Browse shelf(Opens below))	2024	02	Not For Loan	029568

Total holds: 0

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Previous	006.31 A319i Introduction to machine learning /	006.31 B2341b Bayesian reasoning and machine learning /	006.31 D6181 Dive into deep learning /	006.31 D6181 Dive into deep learning /	006.31 E368l Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow /	006.31 E368l Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow /	006.31 G377h Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems /	Next

Includes bibliographical references and index.

"This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online"--

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