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Deep learning projects using TensorFlow 2 :neural network development with Python and Keras /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Deep learning projects using TensorFlow 2 :/ Vinita Silaparasetty.
其他題名:	neural network development with Python and Keras /
其他題名:	Neural network development with Python and Keras
作者:	Silaparasetty, Vinita,
出版者:	[Berkeley, California?] :Apress,c2020.
面頁冊數:	xxv, 421 p. :ill. ;24 cm.
附註:	Includes index.
標題:	Machine learning. -
ISBN:	9781484258019 (pbk.) :
ISBN:	1484258010 (pbk.)

Deep learning projects using TensorFlow 2 :neural network development with Python and Keras /
LDR:02162cam a2200229 a 450 001 1000116904
003 OCoLC
005 20211012040518.0
008 200201s2020 caua 001 0 eng d
020 $a 9781484258019 (pbk.) : $c NT1440
020 $a 1484258010 (pbk.)
020 $z 9781484258026 (ebook)
035 $a (OCoLC)1137807921
035 $a on1137807921
040 $a YDX $b eng $c YDX $d OCLCQ $d OCLCF $d JRZ $d BDX
082 0 4 $a 006.31 $2 23
100 1 $a Silaparasetty, Vinita, $e author $3 1000140491
245 1 0 $a Deep learning projects using TensorFlow 2 : $b neural network development with Python and Keras / $c Vinita Silaparasetty.
246 3 0 $a Neural network development with Python and Keras
260 # $a [Berkeley, California?] : $b Apress, $c c2020.
300 $a xxv, 421 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
505 0 # $a 1. Getting started : installation and troubleshooting -- 2. Perceptrons -- 3. Neural networks -- 4. Sentiment analysis -- 5. Music generation -- 6. Image colorization -- 7. Image deblurring -- 8. Image manipulation -- 9. Neural network collection -- Appendix: Portfolio tips.
520 # $a Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. You will: Grasp the basic process of neural networks through projects, such as creating music ; Restore and colorize black and white images with deep learning processes ; Generate artificially intelligent characters for UI and game applications.
630 0 0 $a TensorFlow. $3 1000140492
650 # 0 $a Machine learning. $3 147118
650 # 0 $a Neural networks (Computer science) $3 146937