Introduction to TensorFlow

In this course, you will learn how to create machine learning models in TensorFlow which is the tool we will use to write machine learning programs. You’ll learn how to use the TensorFlow libraries to solve numerical problems.
Course info
Level
Intermediate
Updated
Aug 3, 2019
Duration
2h 59m
Table of contents
Introduction
Core TensorFlow
Estimator API
Scaling TensorFlow models with Cloud AI Platform
Summary
Description
Course info
Level
Intermediate
Updated
Aug 3, 2019
Duration
2h 59m
Description

In this course, you will learn how to create machine learning models in TensorFlow which is the tool we will use to write machine learning programs. You’ll learn how to use the TensorFlow libraries to solve numerical problems. When writing programs, you often want to know about common mistakes that you might run into, and how to fix common errors. Then, we’ll look at the Estimator API, which provides the highest level abstraction within TensorFlow for training, evaluating and serving machine learning models. You will learn how to Use tf_estimator to create, train, and evaluate an ML model. Finally, you’ll learn how to execute TensorFlow models on Cloud AI Platform, Google-managed infrastructure to run TensorFlow. You will learn how to Train, deploy, and productionalize ML models at scale with Cloud AI Platform.

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