Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data (English Edition)

Par : Rajdeep Dua
Offrir maintenant
Ou planifier dans votre panier
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
  • Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
  • Compatible avec une lecture sur liseuses Vivlio
  • Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
  • Non compatible avec un achat hors France métropolitaine
Logo Vivlio, qui est-ce ?

Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement

Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
Google PlayApp Store
  • FormatePub
  • ISBN978-93-91392-23-9
  • EAN9789391392239
  • Date de parution24/03/2022
  • Protection num.Adobe DRM
  • Infos supplémentairesepub
  • ÉditeurBPB Publications

Résumé

Work with TensorFlow and Keras for real performance of deep learning KEY FEATURES  ? Combines theory and implementation with in-detail use-cases.? Coverage on both, TensorFlow 1.x and 2.x with elaborated concepts.? Exposure to Distributed Training, GANs and Reinforcement
Work with TensorFlow and Keras for real performance of deep learning KEY FEATURES  ? Combines theory and implementation with in-detail use-cases.? Coverage on both, TensorFlow 1.x and 2.x with elaborated concepts.? Exposure to Distributed Training, GANs and Reinforcement Learning. DESCRIPTION Mastering TensorFlow 2.x is a must to read and practice if you are interested in building various kinds of neural networks with high level TensorFlow and Keras APIs.
The book begins with the basics of TensorFlow and neural network concepts, and goes into specific topics like image classification, object detection, time series forecasting and Generative Adversarial Networks. While we are practicing TensorFlow 2.6 in this book, the version of Tensorflow will change with time; however you can still use this book to witness how Tensorflow outperforms. This book includes the use of a local Jupyter notebook and the use of Google Colab in various use cases including GAN and Image classification tasks.
While you explore the performance of TensorFlow, the book also covers various concepts and in-detail explanations around reinforcement learning, model optimization and time series models. WHAT YOU WILL LEARN? Getting started with Tensorflow 2.x and basic building blocks.? Get well versed in functional programming with TensorFlow.? Practice Time Series analysis along with strong understanding of concepts.? Get introduced to use of TensorFlow in Reinforcement learning and Generative Adversarial Networks.? Train distributed models and how to optimize them.
WHO THIS BOOK IS FORThis book is designed for machine learning engineers, NLP engineers and deep learning practitioners who want to utilize the performance of TensorFlow in their ML and AI projects. Readers are expected to have some familiarity with Tensorflow and the basics of machine learning would be helpful. AUTHOR BIO Rajdeep has  20+ years of experience in the software industry and 5-6 years' experience leading teams in the machine learning and deep learning space.
He and his teams have been working on deep learning use cases like object detection, time series forecasting, image classification as well as OCR. He has also been writing books in this space for quite a few years and has been a visiting faculty at IIIT Hyderabad, Indian School of Business (Business Analytics course) and College of Engineering Pune.