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Learner Reviews & Feedback for Advanced Computer Vision with TensorFlow by DeepLearning.AI

125 ratings
27 reviews

About the Course

In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection. b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. c) Implement image segmentation using variations of the fully convolutional network (FCN) including U-Net and d) Mask-RCNN to identify and detect numbers, pets, zombies, and more. d) Identify which parts of an image are being used by your model to make its predictions using class activation maps and saliency maps and apply these ML interpretation methods to inspect and improve the design of a famous network, AlexNet. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models....

Top reviews

Dec 27, 2020

Very interesting course and complex content. Perfect place to start if your planning enter into a research field in Computer Vision.

Jan 2, 2021

great course to know all about image segmentation , localization and other image stuffs, great course

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1 - 25 of 27 Reviews for Advanced Computer Vision with TensorFlow

By Tamim-Ul-Haq M

Dec 28, 2020

Very interesting course and complex content. Perfect place to start if your planning enter into a research field in Computer Vision.

By Nikolaj E

Dec 22, 2020

A bit hard to mess around with file uploads, but the biggest problem was that Colab blocked GPU access for many hours - maybe I tried to many times...

By Adriano W A

Feb 7, 2021

The concepts and the teaching is ok. The labs are basically a follow the code, with no great code challenge

By Eric L

Dec 24, 2020

I thought this was the best course in the tensorflow series so far! You get to learn about more sophisticated architectures like FCN, U-Net, ResNet, etc. The programming exercises take a little more time than the other courses and are intended to help you load models and restore checkpoints from new models you find on blogs. It would be great to also have classes on NLP and reinforcement learning at this level.

By Jay R

Dec 31, 2020

Excellent explanations and practical exercises to help you get going on object detection and semantic segmentation. This course is essential for anyone wanting to get the most out of Tensorflow for Computer Vision.

By Moustafa S

Jan 3, 2021

great course to know all about image segmentation , localization and other image stuffs, great course

By Jeremy L

Dec 27, 2020

Another wonderful course by, I really enjoy taking this course!

By yang

Dec 27, 2020

It is very helpful course.

By Francois R

Mar 14, 2021

Excellent course.

This is the course that I was the more eager to take in the specialization as I have created Computer Vision models previously (and added that functionality to my iOS app) last year.

Things I specially liked:

- The week on Segmentation and particularly the assignment as I will be able to do similar implementation with other models like U-Net

- I like the weekly quiz to solidify the new knowledge.

Things I liked less:

- The assignment of Week 2 on Object Detection as it required too much getting in the customization of a specific model. That being said, the exercice is probably useful and training from only 5 images is cool...

By Venkatesan K

Jan 30, 2021

Excellent course structure and well defined explanations. Assignments were fun as always. I learnt a lot about computer vision and managed to get useful functions for visualisations especially in object detections. Thank you to the teacher!!

By Bernard F

Jan 19, 2021

Excellent content and great presentation.

I am doing a masters using computer vision for medical diagnostics and this course provided excellent clear summaries of some of the basics on which my thesis is based.

By Nikolay S

Feb 28, 2021

This course was fantastic! Laurence and team did great job. Definitely recommended.

By Rawan L

Jan 20, 2021

This course was super useful cause it's practical and not only focusing on the theory part.

By Wong H S

Feb 11, 2021

Excellent content, learnt a lot and gain deeper insight into computer vision techniques.

By Faizan A

Feb 11, 2021

The whole course was very good! Especially week 4, learned some new concepts in week 4.

By Nitin K

Apr 13, 2021

It is awesome course. Direct to the point with great depth in subject.

By Serge T

Feb 8, 2021

Good course, lots of useful information, great practical exercises!

By Animesh

Feb 7, 2021

nicely designed course. great instructor too! : )

By Aleksandr S

Jan 31, 2021

Excellent course with theory and practical tests.

By 西川 尚之

Jan 15, 2021

This course is very exciting and useful ! Great!

By Ed H N C

Jan 23, 2021

I'm hoping to apply this on my own project.

By Syed N H

Feb 6, 2021

One of the best course I have ever done <3

By Alexander Z

Feb 21, 2021

Very usefull course. Thanks!


Mar 31, 2021

it's a very good courses

By Jorge S

Mar 29, 2021

Best content around !