Palms-On Synthetic Intelligence on Google Cloud Platform: Construct clever functions powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow

Develop sturdy AI functions with TensorFlow, Cloud AutoML, TPUs, and different GCP providers

Key Options

• Concentrate on AI mannequin growth and deployment in GCP with out worrying about infrastructure
• Handle characteristic processing, information storage, and skilled fashions utilizing Google Cloud Dataflow
• Entry key frameworks akin to TensorFlow and Cloud AutoML to run your deep studying fashions

Ebook Description

With a variety of thrilling instruments and libraries akin to Google BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc, Google Cloud Platform (GCP) allows environment friendly large information processing and the event of sensible AI fashions on the cloud. This GCP e-book will information you in utilizing these instruments to construct your AI-powered functions with ease and managing hundreds of AI implementations on the cloud to assist prevent time.

Beginning with a quick overview of Cloud AI and GCP options, you will learn to take care of giant volumes of knowledge utilizing auto-scaling options. You may then implement Cloud AutoML to show the usage of streaming elements for performing information analytics and perceive how Dialogflow can be utilized to create a conversational interface. As you advance, you’ll scale out and velocity up AI and predictive functions utilizing TensorFlow. You may additionally leverage GCP to coach and optimize deep studying fashions, run machine studying algorithms, and carry out advanced GPU computations utilizing TPUs. Lastly, you will construct and deploy AI functions to manufacturing with the assistance of an end-to-end use case.

By the top of this e-book, you will have discovered how one can design and run experiments and be capable of uncover progressive options with out worrying about infrastructure, sources, and computing energy.

What you’ll be taught

• Perceive the fundamentals of cloud computing and discover GCP elements
• Work with the info ingestion and preprocessing methods in GCP for machine studying
• Implement machine studying algorithms with Google Cloud AutoML
• Optimize TensorFlow machine studying with Google Cloud TPUs
• Familiarize yourself with operationalizing AI on GCP
• Construct an end-to-end machine studying pipeline utilizing Cloud Storage, Cloud Dataflow, and Cloud Datalab
• Construct fashions from petabytes of structured and semi-structured information utilizing BigQuery ML

Who this e-book is for

If you happen to’re a synthetic intelligence developer, information scientist, machine studying engineer, or deep studying engineer seeking to construct and deploy sensible functions on Google Cloud Platform, you will discover this e-book helpful. A elementary understanding of primary information processing and machine studying ideas is critical. Although not necessary, familiarity with Google Cloud Platform will allow you to take advantage of this e-book.

Desk of Contents

1. Overview of Synthetic Intelligence and Google Cloud Platform
2. Computing and Processing Utilizing GCP Parts
3. Constructing Machine Studying Purposes with XGBoost
4. Utilizing Cloud AutoML
5. Constructing a Massive Knowledge Cloud Machine Studying Engine
6. Constructing Sensible Conversational Purposes Utilizing DialogFlow
7. Understanding Cloud Tensor Processing Models
8. Implement TensorFlow fashions utilizing Cloud Machine Studying Engine
9. Constructing Prediction Purposes utilizing Tensorflow Fashions
10. Constructing an Synthetic Intelligence software