Google Cloud

TensorFlow on Google Cloud

This course is part of multiple programs.

Taught in English

47,222 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(2,743 reviews)

|

89%

Intermediate level
Some related experience required
13 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Create TensorFlow and Keras machine learning models and describe their key components.

  • Use the tf.data library to manipulate data and large datasets.

  • Use the Keras Sequential and Functional APIs for simple and advanced model creation.

  • Train, deploy, and productionalize ML models at scale with Vertex AI.

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(2,743 reviews)

|

89%

Intermediate level
Some related experience required
13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 6 modules in this course

This module provides an overview of the course and its objectives.

What's included

1 video

This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.

What's included

4 videos1 reading1 quiz

Data is the a crucial component of a machine learning model. Collecting the right data is not enough. You also need to make sure you put the right processes in place to clean, analyze and transform the data, as needed, so that the model can take the most signal of it as possible. In this module we discuss training on large datasets with tf.data, working with in-memory files, and how to get the data ready for training. Then we discuss embeddings, and end with an overview of scaling data with tf.keras preprocessing layers.

What's included

10 videos1 reading1 quiz2 app items

In this module, we discuss activation functions and how they are needed to allow deep neural networks to capture nonlinearities of the data. We then provide an overview of Deep Neural Networks using the Keras Sequential and Functional APIs. Next we describe model subclassing, which offers greater flexibility in model building. The module ends with a lesson on regularization.

What's included

10 videos1 reading1 quiz2 app items

In this module, we describe how to train TensorFlow models at scale using Vertex AI.

What's included

3 videos1 reading1 quiz1 app item

This module is a summary of the TensorFlow on Google Cloud course.

What's included

4 readings

Instructor

Instructor ratings
4.5 (180 ratings)
Google Cloud Training
Google Cloud
1,293 Courses2,433,221 learners

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Google Cloud

Recommended if you're interested in Machine Learning

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4.4

2,743 reviews

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LL
4

Reviewed on Aug 30, 2019

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5

Reviewed on Dec 26, 2018

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5

Reviewed on Jun 16, 2018

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