CourseraArtificial IntelligenceFree courseCertificate

Intro to TensorFlow

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to feature

4.0

180 reviews

Created by: Google Cloud Training

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 80 / 100

Course Description

We introduce low-level TensorFlow and work our way through the necessary concepts and APIs so as to be able to write distributed machine learning models. Given a TensorFlow model, we explain how to scale out the training of that model and offer high-performance predictions using Cloud Machine Learning Engine.Course Objectives:Create machine learning models in TensorFlowUse the TensorFlow libraries to solve numerical problemsTroubleshoot and debug common TensorFlow code pitfallsUse tf.estimator to create, train, and evaluate an ML modelTrain, deploy, and productionalize ML models at scale with Cloud ML EngineCOMPLETION CHALLENGEComplete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.

Time: 10h

Instructor Details

Google Cloud Training

4.0 Rating
180 Reviews

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what's next for their businesses with innovative technology created in-and for-the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

More courses by Google Cloud Training

How Google does Machine Learning
4.8 (499 Reviews)

- Provider: Coursera
- Time: 10h

Free

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
4.2 (444 Reviews)

- Provider: Coursera
- Time: 10h

Free

Serverless Data Analysis with Google BigQuery and Cloud Dataflow
4.2 (287 Reviews)

- Provider: Coursera
- Time: 9h

Free

Building Resilient Streaming Systems on Google Cloud Platform
4.4 (139 Reviews)

- Provider: Coursera
- Time: 8h

Free

Feature Engineering
4.0 (107 Reviews)

- Provider: Coursera
- Time: 11h

Free

Art and Science of Machine Learning
4.4 (75 Reviews)

- Provider: Coursera
- Time: 8h

Free

All courses by Google Cloud Training

More Artificial Intelligence courses

Convolutional Neural Networks
5.0 (709 Reviews)

- Provider: Coursera
- Time: 21h

Free

AI For Everyone
5.0 (541 Reviews)

- Provider: Coursera
- Time: 9h

Free

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)

- Provider: Coursera
- Time: 15h

Free

A Crash Course in Data Science
5.0 (490 Reviews)

- Provider: Coursera
- Time: 5h

Free

Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)

- Provider: Udemy
- Time: 14.7h

$79.99

Sequence Models
4.9 (755 Reviews)

- Provider: Coursera
- Time: 18h

Free

All Artificial Intelligence courses

Reviews

4.0

180 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Sunil C on 10-Nov-19

This course is not free!!! They deducted my money after saying its free. Beware of the coursera frauds.

By YuMin C on 7-Nov-19

I love this course

By Super-intelligent S o t C B on 6-Nov-19

Good course. Familiarity with gcloud command should be a prereq. Thank you to Coursera and the Google team for putting it together.

By SULAIMAN on 3-Nov-19

The Best course

By 游淙舜 on 26-Oct-19

estimator is useful tool that it let us only focus on own data,

By Sebastian R on 19-Oct-19

The first 2 courses in this specialization had too little substance. Here the first two weeks are very good. Unfortunately, the final week terrible. It introduces lots of interesting concepts but does not explain them adequately. You will see lots of cryptic code (getting obscure ids, running bash scripts from jupyter) without much explanation. The whole thing feels unfinished. When google is not too busy being subservient to China, it could maybe spare some resources fixing this for paying customers?

By Carlo B on 3-Oct-19

Very nice

By Sreeraj R P on 24-Sep-19

Tensorflow tutorials as such was very informative, however, Tf on GCP could have had better explanation.

By 馬健凱 on 24-Sep-19

A great course. Hope there are more explanation on some of the codes.

By Thibault D on 10-Sep-19

I enjoyed this course a lot. If I could modify anything, I would adjust the content and pace of the third week. The videos are relatively simple to understand and well-explained while the final lab feels a lot harder with a lot of unknown command to execute.

By Vidit V on 4-Sep-19

I don't feel this course , i don't understand many concepts . As the course name suggest " Intro to Tenserflow " So, You should have to teach from basic and many concepts are out of my head i don't understand

By Loucas L on 31-Aug-19

The tools and methods presented were great. The instructors were also fantastic.However the coding exercises were lacking in guidance even though the complete solution is given in the video.

Showing 12 of 180 reviews