About this Course

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Learner Career Outcomes

60%

started a new career after completing these courses

67%

got a tangible career benefit from this course

40%

got a pay increase or promotion
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.
Advanced Level
Approx. 12 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Skills you will gain

TensorflowConvolutional Neural NetworkEstimatorAdvanced Machine Learning

Learner Career Outcomes

60%

started a new career after completing these courses

67%

got a tangible career benefit from this course

40%

got a pay increase or promotion
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.
Advanced Level
Approx. 12 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(1,075 ratings)Info
Week
1

Week 1

1 hour to complete

Welcome to Image Understanding with TensorFlow on GCP

1 hour to complete
4 videos (Total 18 min), 1 reading, 1 quiz
4 videos
Getting Started with Google Cloud Platform and Qwiklabs3m
Images as Visual Data5m
Structured vs Unstructured Data6m
1 reading
How to Send Feedback10m
1 practice exercise
Images as Visual Data
4 hours to complete

Linear and DNN Models

4 hours to complete
10 videos (Total 65 min)
10 videos
Linear Models6m
Lab Intro: Linear Models for Image Classification46s
Lab Solution: Linear Models for Image Classification11m
DNN Models Review3m
Lab Intro: DNN Models for Image Classification47s
Lab Solution: DNN Models for Image Classification19m
Review: What is Dropout?3m
Lab Intro: DNNs with Dropout Layer for Image Classification23s
Lab Solution: DNNs with Dropout Layer for Image Classification11m
1 practice exercise
Linear and DNN Models
2 hours to complete

Convolutional Neural Networks (CNNs)

2 hours to complete
7 videos (Total 38 min)
7 videos
Understanding Convolutions8m
CNN Model Parameters4m
Working with Pooling Layers2m
Implementing CNNs with TensorFlow4m
Lab Intro: Creating an Image Classifier with a Convolutional Neural Network2m
Lab Solution: Creating an Image Classifier with a Convolutional Neural Network10m
1 practice exercise
CNNs
Week
2

Week 2

3 hours to complete

Dealing with Data Scarcity

3 hours to complete
8 videos (Total 34 min)
8 videos
Data Augmentation8m
Lab Intro: Implementing image augmentation1m
Lab Solution: Implementing image augmentation2m
Transfer Learning5m
Lab Intro: Implementing Transfer Learning47s
Lab Solution: Implementing Transfer Learning8m
No Data, No Problem1m
1 practice exercise
Dealing with Data Scarcity
1 hour to complete

Going Deeper Faster

1 hour to complete
8 videos (Total 65 min)
8 videos
Batch Normalization7m
Residual Networks6m
Accelerators (CPU vs GPU, TPU)5m
TPU Estimator9m
Demo: TPU Estimator18m
Neural Architecture Search3m
Summary4m
1 practice exercise
Going Deeper, Faster
2 hours to complete

Pre-built ML Models for Image Classification

2 hours to complete
9 videos (Total 33 min)
9 videos
Pre-built ML Models5m
Cloud Vision API2m
Demo: Vision API1m
AutoML Vision1m
Demo: AutoML4m
AutoML Architecture2m
Lab Intro: Training with Pre-built ML Models using Cloud Vision API and AutoML39s
Lab Solution: Training with Pre-built ML Models using Cloud Vision API and AutoML14m
1 practice exercise
Pre-built Models
14 minutes to complete

Summary

14 minutes to complete
1 video (Total 4 min), 1 reading
1 video
1 reading
Additional Resources10m

Reviews

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About the Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order....
Advanced Machine Learning with TensorFlow on Google Cloud Platform

Frequently Asked Questions

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