TENSORFLOW MACHINE LEARNING
TENSORFLOW MACHINE LEARNING: A Comprehensive Beginner's Guide to Learn About the Realms of TensorFlow Machine Learning From A-Z by Benjamin Smith
English | April 26, 2020 | ISBN: N/A | ASIN: B087L8S2DQ | 293 pages | EPUB | 0.72 Mb
English | April 26, 2020 | ISBN: N/A | ASIN: B087L8S2DQ | 293 pages | EPUB | 0.72 Mb
Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU. While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others – NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along withHere’s what you will learn:
•What deep learning is
•The difference between deep learning and machine learning
•What TensorFlow is
•How to install it on Windows and Mac
•The basics of TensorFlow
•Using TensorBoard
•About NumPy, Scikit Learn, and Pandas
•About linear regression
•Kernel methods
•Building an Artificial Neural Network using TensorFlow
•TensorFlow image classification
•TensorFlow autoencoders
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