The deep learning workshop
"Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text."--
Read More ↓Title Statements
- Full title :The deep learning workshop / Mirza Rahim Biag, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, and Anthony So.
Summary
"Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text."--
Read More ↓Edition Statements
- Publication Date:2020.
Publication Statements
- Publisher(s):Packt
- Place of Publication:Birmingham, UK
- Language:eng
- Publication Date:2020.
Notes
"Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras."
"Data science :& artificial intelligence"--Cover.
Includes access to the premium interactive edition.
Includes index.
The Physical Object
- Description:x, 437 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781839219856, 1839219858
- oclc:on1238009132
- Dewey Decimal:006.3/1
Table of Contents
Building blocks of deep learning -- Neural networks -- Image classification with Convolutional Neural Networks (CNNs) -- Deep learning for text, embeddings -- Deep learning for sequences -- LSTMs, GRUs, and advanced RNNs -- Generative adversarial networks.
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