Deep learning with Python / François Chollet.
Material type:
TextPublisher: Shelter Island : Manning, [2018]Copyright date: ©2018Description: xxi, 361 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781617294433 (pbk.) :Subject(s): Machine learning | Python (Computer program language) | Computers and IT | Computers and ITDDC classification: 006.3'1 Summary: Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech and optical character recognition. 'Deep Learning with Python' is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices.
| Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
|---|---|---|---|---|---|---|---|---|---|
Book
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.31 CHO (Browse shelf(Opens below)) | Available | 06458890 |
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| 006.301 WAL Mind and machine / | 006.31 ALP Introduction to machine learning / | 006.31 BON Mastering Machine Learning Algorithms. | 006.31 CHO Deep learning with Python / | 006.31 CHO Deep learning with Python / | 006.31 CHO Deep learning with Python / | 006.31 DI Deep Learning Essentials: Your Hands-On Guide to the Fundamentals of Deep Learning and Neural Network Modeling. |
Includes ebook access.
Includes bibliographical references and index.
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech and optical character recognition. 'Deep Learning with Python' is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices.
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