Deep learning : a visual approach / Andrew Glassner.
Material type:
TextPublisher: San Francisco, CA : No Starch Press, [2021]Description: xxviii, 736 pages : illustrations (chiefly color) ; 24 cmContent type: - text
- unmediated
- volume
- 9781718500723
- Q325.5 .G58 2021
| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
| Books | Library First Floor | Q325.5 .G58 2021 (Browse shelf(Opens below)) | Available | 42053 |
Browsing Library shelves, Shelving location: First Floor Close shelf browser (Hides shelf browser)
| Q295 .G57 2001 Signals and systems / | Q325 .M33 2019 Machine learning paradigms: advances in data analytics / | Q325 .S78 2015 Study of self- Organizing maps / | Q325.5 .G58 2021 Deep learning : a visual approach / | Q325.5 .G87 2021 Introduction to machine learning in the cloud with python: concepts and practices / | Q325.5 .H67 2017 Learning TensorFow :a guide to building deep learning systems / | Q325.5 .K57 2021 Machine learning and deep learning using Python and Tensorflow / |
Includes bibliographical references (pages [693]-719) and index.
"A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"-- Provided by publisher.
There are no comments on this title.