Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1102| Title: | Advanced Deep Learning with Keras |
| Other Titles: | Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |
| Authors: | Atienza, Rowel |
| Keywords: | Advanced Deep Learning with Keras |
| Issue Date: | Oct-2018 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1311018; |
| Abstract: | In recent years, deep learning has made unprecedented success stories in difficult problems in vision, speech, natural language processing and understanding, and all other areas with abundance of data. The interest in this field by companies, universities, governments, and research organizations has accelerated the advances in the field. This book covers select important advances in deep learning. The advanced theories are explained by giving a background of the principles, digging into the intuition behind the concepts, implementing the equations and algorithms using Keras, and examining the results. |
| URI: | http://hdl.handle.net/123456789/1102 |
| ISBN: | 978-1-78862-941-6 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Advanced Deep Learning with Keras.pdf | 10.22 MB | Adobe PDF | View/Open |
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