Deep learning illustrated : a visual, interactive guide to artificial intelligence By Jon Krohn ; Grant Beyleveld and Aglae Bassens.

By:

Krohn, Jon; Beyleveld, Grant & Bassens, Aglae

Material type: Text

TextPublication details: India: Pearson, c.2020.Edition: 1st EdDescription: i-xli+330pISBN:

978-93-539-4546-6

Subject(s):

Machine learning. Artificial intelligence. Natural language processing (Computer science)

DDC classification:

006.31 KRO-D

Contents:

Introducing deep learning. Biological and machine vision -- Human and machine language -- Machine art -- Game-playing machines -- Essential theory illustrated. The (Code) cart ahead of the (theory) horse -- Artificial neurons detecting hot dogs -- Artificial neural networks -- Training deep networks -- Improving deep networks -- Interactive applications of deep learning. Machine vision -- Natural language processing -- Generative adversarial networks -- Deep reinforcement learning -- You and AI. Moving forward with your own deep learning projects -- Aooendix A: Formal neural network notation -- Appendix B: Backpropagation -- Appendix C: PyTorch.

Summary: Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. "Deep learning illustrated" is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics		006.31 KRO-D (Browse shelf(Opens below))	Checked out to AKHIL VASIM (86721606001)	13/04/2023	DCB3901
Book	Dept. of Futures Studies General Stacks	Dept. of Futures Studies	Non-fiction	006.31 KRO (Browse shelf(Opens below))	Available		DFS4653

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Previous	006.31 GOP Deep learning: Core concepts,methods and applications	006.31 HAN Handbook of machine learning for computational optimization : applications and case studies /	006.31 KAD A Primer on Generative Adversarial Networks /	006.31 KRO Deep learning illustrated : a visual, interactive guide to artificial intelligence	006.31 MAT Fundamentals of Data Analytics: with a View to Machine Learning/	006.31 MOT Machine Learning for Text and Image Data Analysis: Practical Approach with Business Use Cases/	006.31 PRA Machine learning using Python	Next

Introducing deep learning. Biological and machine vision --
Human and machine language --
Machine art --
Game-playing machines --
Essential theory illustrated. The (Code) cart ahead of the (theory) horse --
Artificial neurons detecting hot dogs --
Artificial neural networks --
Training deep networks --
Improving deep networks --
Interactive applications of deep learning. Machine vision --
Natural language processing --
Generative adversarial networks --
Deep reinforcement learning --
You and AI. Moving forward with your own deep learning projects --
Aooendix A: Formal neural network notation --
Appendix B: Backpropagation --
Appendix C: PyTorch.

Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. "Deep learning illustrated" is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.

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