Packt.-.Learn.Tensorflow.Enterprise.Build.Manage.And.Scale.Machine.Learning.Workloads.Seamlessly.Using.Google.s.Tensorflow.Enterprise.2020.Retail.EPUB.eBook-BitBook
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Learn TensorFlow Enterprise - Build, Manage, and Scale Machine Learning Workload
by Kc Tung
(p)n/a
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DATE: 22-06-2021 ▓ SIZE: 9.92 MB ▓ PAGES: n/a
FORMAT: EPUB ▒ DISKS: 1x50.00MB ▒ EDITION: n/a
LANGUAGE: English ░ ISBN: 9781800209145 ░ REMOVED: DRM
https://is.gd/FU4Mer
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Use TensorFlow Enterprise with other GCP services to improve the speed and
efficiency of machine learning pipelines for reliable and stable
enterprise-level deployment Key features Build scalable, seamless, and
enterprise-ready cloud-based machine learning applications using TensorFlow
Enterprise Discover how to accelerate the machine learning development life
cycle using enterprise-grade services Manage Google's cloud services to
scale and optimize AI models in production Book Description TensorFlow as a
machine learning (ML) library has matured into a production-ready
ecosystem. This beginner's book uses practical examples to enable you to
build and deploy TensorFlow models using optimal settings that ensure long-
term support without having to worry about library deprecation or being
left behind when it comes to bug fixes or workarounds. The book begins by
showing you how to refine your TensorFlow project and set it up for
enterprise-level deployment. You'll then learn how to choose a future-proof
version of TensorFlow. As you advance, you'll find out how to build and
deploy models in a robust and stable environment by following recommended
practices made available in TensorFlow Enterprise. This book also teaches
you how to manage your services better and enhance the performance and
reliability of your artificial intelligence (AI) applications. You'll
discover how to use various enterprise-ready services to accelerate your ML
and AI workflows on Google Cloud Platform (GCP). Finally, you'll scale your
ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs. By
the end of this TensorFlow book, you'll have learned the patterns needed
for TensorFlow Enterprise model development, data pipelines, training, and
deployment. What you will learn Discover how to set up a GCP TensorFlow
Enterprise cloud instance and environment Handle and format raw data that
can be consumed by the TensorFlow model training process Develop ML models
and leverage prebuilt models using the TensorFlow Enterprise API Use
distributed training strategies and implement hyperparameter tuning to
scale and improve your model training experiments Scale the training
process by using GPU and TPU clusters Adopt the latest model optimization
techniques and deployment methodologies to improve model efficiency Who
this book is for This book is for data scientists, machine learning
developers or engineers, and cloud practitioners who want to learn and
implement various services and features offered by TensorFlow Enterprise
from scratch. Basic knowledge of the machine learning development process
will be useful.
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Files
| Path | Size |
|---|
| bb-learn.tensorflow.enterprise.bu.nfo | 10,38 KB |
| bbyjhgca.zip | 9,94 MB |