About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

38%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Skills you will gain

Machine LearningPython ProgrammingBuild Input Data PipelineTensorflowkeras

Learner Career Outcomes

33%

started a new career after completing these courses

38%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(3,017 ratings)Info
Week
1

Week 1

7 minutes to complete

Introduction to course

7 minutes to complete
2 videos (Total 7 min)
2 videos
Getting Started with Google Cloud and Qwiklabs3m
3 hours to complete

Introduction to TensorFlow

3 hours to complete
5 videos (Total 22 min), 1 reading, 5 quizzes
5 videos
TensorFlow API Hierarchy4m
Components of TensorFlow: Tensors and Variables8m
Lab Intro Introduction to Tensors and Variables1m
Lab Intro Writing low-level TensorFlow programs43s
1 reading
Readings10m
3 practice exercises
Introduction to TensorFlow15m
API Hierarchy15m
Tensors and Variables15m
Week
2

Week 2

7 hours to complete

Design and Build a TensorFlow Input Data Pipeline

7 hours to complete
10 videos (Total 25 min), 1 reading, 9 quizzes
10 videos
Working in-memory and with files3m
Getting the data ready for model training6m
Lab Intro Load CSV and Numpy Data 28s
Lab Intro Loading Image Data54s
Lab Intro Feature Columns37s
Optional Lab Intro TFRecord and tf.Example1m
Training on Large Datasets with tf.data API4m
Lab Intro Manipulating data with Tensorflow Dataset API34s
Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets1m
1 reading
Readings15m
3 practice exercises
PRACTICE QUIZ: Getting the data ready for model training15m
Training on Large Datasets with tf.data API15m
Design and Build Input Data Pipeline15m
Week
3

Week 3

4 hours to complete

Training neural networks with Tensorflow 2 and the Keras Sequential API

4 hours to complete
5 videos (Total 23 min), 1 reading, 5 quizzes
5 videos
Activation functions8m
Activation functions: Pitfalls to avoid in Backpropagation 5m
Neural Networks with Keras Sequential API7m
Lab intro Keras Sequential API21s
1 reading
Readings10m
2 practice exercises
Activation Functions15m
Neural Networks with TF2 and Keras15m
Week
4

Week 4

3 hours to complete

Training neural networks with Tensorflow 2 and the Keras Functional API

3 hours to complete
6 videos (Total 29 min), 1 reading, 4 quizzes
6 videos
Regularization: The Basics4m
Regularization: L1, L2, and Early Stopping5m
Regularization: Dropout5m
Serving models in the Cloud3m
Lab intro Keras Functional API38s
1 reading
Readings1h
3 practice exercises
The Keras Functional API15m
Regularization15m
Serving Models in the Cloud15m
1 hour to complete

Summary

1 hour to complete
1 video (Total 8 min), 1 reading, 1 quiz
1 video
1 reading
Quiz Questions to ALL Lessons 10m
1 practice exercise
Course Summary15m

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About the Machine Learning with TensorFlow on Google Cloud Platform Specialization

Machine Learning with TensorFlow on Google Cloud Platform

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