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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by deeplearning.ai

4.7
stars
2,472 ratings
363 reviews

About the Course

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. In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. 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....

Top reviews

JM

Sep 12, 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

MH

May 24, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

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276 - 300 of 359 Reviews for Convolutional Neural Networks in TensorFlow

By Donal B

Oct 18, 2019

Excellent course. Would have liked graded coding assignments like in the first course.

By Phuoc H L

Nov 14, 2019

More exercises should be available for students to practice and test their skills.

By Gregor F

Jan 07, 2020

Straight to point with a lot of useful techniques! Interesting examples as well.

By Sebastian M A

Dec 06, 2019

No le pongo las 5 estrellas por la falta de ejercicios prácticos calificables.

By Damon W

Oct 08, 2019

Good practical course. A bit heavy on visual images, but very informative.

By Rishabh B

Feb 01, 2020

Could have had tougher exercises. Great basics course nevertheless!

By Xiangzhen Z

Aug 18, 2019

a little bit too easy compared to Andrew Ng's deep learning course.

By Amardeep S

Dec 29, 2019

The homework assignments should be required and more challenging

By Sharvil G

Aug 06, 2019

Transfer learning part should have been in more detail. Thanks.

By Muhammad U

Aug 18, 2019

A well taught course with interesting coursework and projects

By Vitalii S

Nov 25, 2019

Too easy with good background and fast passing course.

By Vittorio R

Oct 06, 2019

Good, but expected more, for example object detection.

By 陈浩然

Sep 05, 2019

Please transfer the notebook from CoLab to Coursera.

By Robert G

Dec 11, 2019

I would like to see examples with videos, yolo, etc

By KHODJA

Oct 02, 2019

A more advanced course would be highly appreciated.

By Ahmet K

Dec 30, 2019

Nice course! All detailed and explained. Thanks!

By Kailyn W

Sep 09, 2019

I need more coding practice, not just quizzes.

By Michel M

Aug 06, 2019

The final assignment was somewhat a steep step

By Zhi Z

Jul 06, 2019

A good course for Keras but not for tensoflow.

By Shankar K M

Feb 10, 2020

Very repetitive examples and howe works.

By rajesh t

Jan 12, 2020

Need more depth and real life scenarios.

By Muthiah A

Jan 06, 2020

Useful continuation for practitioner.

By Renato R

Jan 05, 2020

needs to be more advanced too basic

By Muhammad U

Dec 07, 2019

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