Machine Learning with TensorFlow,Second Edition
by Mattmann A. Chris
Publisher finelybook 出版社: Manning Publications; 2nd edition (February 2,2021)
Language 语言: English
Print Length 页数: 456 pages
ISBN-10: 1617297712
ISBN-13: 9781617297717
Book Description
By finelybook
Updated with new code,new projects,and new chapters,Machine Learning with TensorFlow,Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by: NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann,all examples are accompanied by: downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms,and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers.
Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data,so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need.
Machine Learning with TensorFlow,Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges,such as sentiment analysis,text classification,and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing,facial identification,and auto-encoding with CIFAR-10.
What’s inside
Machine Learning with TensorFlow
Choosing the best ML approaches
Visualizing algorithms with TensorBoard
Sharing results with collaborators
Running models in Docker
Machine Learning with TensorFlow,2nd Edition 9781617297717.zip:
https://finelybook.com/fs/15081096-481669284-bcf6b5
