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Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

4.7
stars
6,927 ratings
1,081 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

MS
Nov 12, 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

RB
Mar 14, 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..

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876 - 900 of 1,078 Reviews for Convolutional Neural Networks in TensorFlow

By Kailyn W

Sep 9, 2019

I need more coding practice, not just quizzes.

By Michel M

Aug 6, 2019

The final assignment was somewhat a steep step

By Zhi Z

Jul 6, 2019

A good course for Keras but not for tensoflow.

By Aleksander W

Feb 14, 2021

better than course #1 of this specialisation

By Prabhat K G

May 29, 2020

Last assignment needs much more explanation

By RAVI P

Jun 17, 2020

Programming exercises are a bit confusing.

By Dr. S G

Apr 17, 2020

Learned many things about computer vision.

By Zanuar E

May 19, 2020

Good Course, I have learned a lot from it

By zhizhen w

Aug 10, 2020

a bit too easy for professional engineer

By Yu-Chen L

Jun 18, 2020

Maybe could be better with more content.

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 Vaidic J

May 25, 2020

little more explanations were required

By Muthiah A

Jan 5, 2020

Useful continuation for practitioner.

By Saniya S

May 25, 2020

Assignment submission was very slow.

By Renato R

Jan 5, 2020

needs to be more advanced too basic

By H A H

Oct 5, 2020

A very good course...thank you sir

By Dr s g

Oct 28, 2020

a great course for quick learning

By Ahmad O

Aug 30, 2020

Assignments needs to be improved.

By Surekha P

May 4, 2020

Learnt to code a CNN effectively!

By Muhammad U U

Dec 7, 2019

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By Yufei M

Jul 26, 2019

I think the quiz should be harder

By Xinhui H

Sep 16, 2019

Some overlap with first course.

By Kumari M

Jun 17, 2020

Pretty much enhanced my skills

By Cheng H Z

Dec 17, 2019

Too little things were covered