Google Cloud Machine Learning with TensorFlow
What you'll learn
- Get access to powerful computers with GPUs organized in clusters to optimize your performance
- Train bigger models faster using the Google Cloud infrastructure
- Explore machine types and learn how to configure clusters to solve problems
- Train deep learning models using the Google Cloud AI Platform
- Run classical machine learning algorithms with TensorFlow
- Run your trained models to get predictions using the AI Platform API
Course content
- Preview06:49
- 07:07Introduction to the Google Cloud Platform
- 02:16Getting a GCP Account
- 07:43Walking Through the GCP Console and Google Cloud SDK
- 05:49Google Compute and Google Storage
- 02:55AI Platform Overview
- 11:54Example Workflow with AI Platform Notebooks
- 5 questionsTest your knowledge
Requirements
- Familiarity with ML concepts will be advantageous.
Description
TensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction.
This course shows you how to use Google Cloud to train TensorFlow models and use them to predict results for multiple users. You will learn to efficiently train neural networks using large datasets and to serve your training models.
With this video course, you will use the power of Google's Cloud Platform to train deep neural networks faster. This course supplies various examples of training in Google Cloud AI Platform. You will also learn to run predictions for your model using the cloud. You will explore topics such as cloud infrastructures, distributed training, serverless technologies, model serving, and more.
By the end of the course, you will be expert at training and serving neural models, and beyond.
About the Author
Tobias Zwingmann is Senior Data Scientist at Deutsche Messe AG and possesses a high entrepreneurial bias. In his work, he utilizes small and big data to create value—for example, by turning analytical insights into better customer experience and higher customer engagement. He also supports the development of new data-driven businesses and prototypes new data products for his organization. He likes to learn from and meet open-minded people.
Who this course is for:
- This course targets data scientists, people starting their journey in the ML/DL domain, and anyone keen to start training deep neural networks using cloud infrastructures.
Instructor
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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.
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