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Mastering TensorFlow 2.x Rajdeep Dua

(ebook) (audiobook) (audiobook) Książka w języku 1
Mastering TensorFlow 2.x Rajdeep Dua - okladka książki

Mastering TensorFlow 2.x Rajdeep Dua - okladka książki

Mastering TensorFlow 2.x Rajdeep Dua - audiobook MP3

Mastering TensorFlow 2.x Rajdeep Dua - audiobook CD

Autor:
Rajdeep Dua
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
418
Dostępne formaty:
     ePub
     Mobi
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 for
This 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.

Table of Contents
1. Getting started with TensorFlow 2.x
2. Machine Learning with TensorFlow 2.x
3. Keras based APIs
4. Convolutional Neural Networks in Tensorflow
5. Text Processing with TensorFlow 2.x
6. Time Series Forecasting with TensorFlow 2.x
7. Distributed Training and DataInput pipelines
8. Reinforcement Learning
9. Model Optimization
10. Generative Adversarial Networks

Wybrane bestsellery

O autorze książki

Rajdeep Dua has over 18 years experience in the cloud and big data space. He has taught Spark and big data at some of the most prestigious tech schools in India: IIIT Hyderabad, ISB, IIIT Delhi, and Pune College of Engineering. He currently leads the developer relations team at Salesforce India. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad. He led the developer relations teams at Google, VMware, and Microsoft, and has spoken at hundreds of other conferences on the cloud. Some of the other references to his work can be seen at Your Story and on ACM digital library. His contributions to the open source community relate to Docker, Kubernetes, Android, OpenStack, and Cloud Foundry.

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