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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is ...
4.7
4.7/5
(15,598 reviews)
257,562 students
Created by

9.0

CourseMarks Score®

N/A

Freshness

8.8

Feedback

8.8

Content

Platform: Coursera
Video: 1h 17m
Language: English

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Detailed Analysis

CourseMarks Score®

9.0 / 10

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Freshness Score

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Student Feedback

8.8 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.8 / 10
Video Score: 7.7 / 10
The course includes 1h 17m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

27 articles.
0 resource.
0 exercise.
12 tests or quizzes.

Table of contents

Description

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

You will learn

✓ Learn best practices for using TensorFlow, a popular open-source machine learning framework
✓ Build a basic neural network in TensorFlow
✓ Train a neural network for a computer vision application
✓ Understand how to use convolutions to improve your neural network

Requirements

Basic knowledge of Software Development is required to start this course, as this is an intermediate level course.

This course is for

This course was made for intermediate-level students.

How much does the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $14.3 of 62 Software Development courses on Coursera.

Does the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Laurence Moroney a SCAM or a TRUSTED instructor?

Laurence Moroney has created 15 courses that got 3,738 reviews which are generally positive. Laurence Moroney has taught 313583 students and received a 4.82 average review out of 3,738 reviews. Depending on the information available, Laurence Moroney is a TRUSTED instructor.
Lead AI Advocate, Google
DeepLearning.AI
Laurence Moroney leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to ML careers for everyone. He’s written dozens of programming books, the most recent being ‘AI and ML for Coders’ at O’Reilly. Laurence believes that MOOCs are one of the greatest ways to learn, and is excited to create TensorFlow Specializations with DeepLearning.AI on Coursera. When not working with technology, he’s an active member of the Science Fiction Writers of America, and has authored several sci-fi novels, and comics books, and a produced screenplay. Laurence is based in Washington state, where he drinks way too much coffee.

9.0

CourseMarks Score®

N/A

Freshness

8.8

Feedback

8.8

Content

Platform: Coursera
Video: 1h 17m
Language: English

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