logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python by Pramod Singh , Avinash Manure ISBN 9781484255582, 1484255585

  • SKU: EBN-50195358
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

0.0

0 reviews
Instant download (eBook) Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python after payment.
Authors:Pramod Singh , Avinash Manure
Year:2020
Editon:1
Publisher:Apress
Language:english
File Size:6.35 MB
Format:pdf
ISBNS:9781484255582, 1484255585
Categories: Ebooks

Product desciption

(Ebook) Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python by Pramod Singh , Avinash Manure ISBN 9781484255582, 1484255585

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.  You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways. What You'll Learn• Review the new features of TensorFlow 2.0• Use TensorFlow 2.0 to build machine learning and deep learning models • Perform sequence predictions using TensorFlow 2.0• Deploy TensorFlow 2.0 models with practical examples Who This Book Is ForData scientists, machine and deep learning engineers.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products