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What's New in TensorFlow 2.0 - Use the new and improved features of TensorFlow to enhance machine learning and deep learning (Paperback)
Loot Price: R742
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What's New in TensorFlow 2.0 - Use the new and improved features of TensorFlow to enhance machine learning and deep learning (Paperback)
Expected to ship within 10 - 15 working days
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Get to grips with key structural changes in TensorFlow 2.0 Key
Features Explore TF Keras APIs and strategies to run GPUs, TPUs,
and compatible APIs across the TensorFlow ecosystem Learn and
implement best practices for building data ingestion pipelines
using TF 2.0 APIs Migrate your existing code from TensorFlow 1.x to
TensorFlow 2.0 seamlessly Book DescriptionTensorFlow is an
end-to-end machine learning platform for experts as well as
beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves
its simplicity and ease of use. This book will help you understand
and utilize the latest TensorFlow features. What's New in
TensorFlow 2.0 starts by focusing on advanced concepts such as the
new TensorFlow Keras APIs, eager execution, and efficient
distribution strategies that help you to run your machine learning
models on multiple GPUs and TPUs. The book then takes you through
the process of building data ingestion and training pipelines, and
it provides recommendations and best practices for feeding data to
models created using the new tf.keras API. You'll explore the
process of building an inference pipeline using TF Serving and
other multi-platform deployments before moving on to explore the
newly released AIY, which is essentially do-it-yourself AI. This
book delves into the core APIs to help you build unified
convolutional and recurrent layers and use TensorBoard to visualize
deep learning models using what-if analysis. By the end of the
book, you'll have learned about compatibility between TF 2.0 and TF
1.x and be able to migrate to TF 2.0 smoothly. What you will learn
Implement tf.keras APIs in TF 2.0 to build, train, and deploy
production-grade models Build models with Keras integration and
eager execution Explore distribution strategies to run models on
GPUs and TPUs Perform what-if analysis with TensorBoard across a
variety of models Discover Vision Kit, Voice Kit, and the Edge TPU
for model deployments Build complex input data pipelines for
ingesting large training datasets Who this book is forIf you're a
data scientist, machine learning practitioner, deep learning
researcher, or AI enthusiast who wants to migrate code to
TensorFlow 2.0 and explore the latest features of TensorFlow 2.0,
this book is for you. Prior experience with TensorFlow and Python
programming is necessary to understand the concepts covered in the
book.
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