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

4.8
stars
461 ratings

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

EN

Sep 30, 2021

I have learnt many useful computer vision algorithms and more importantly applied them myself. In my mind, practical sessions provided during the course makes it one of the best in Coursera platform

LD

Mar 22, 2023

This course is amazing. It is introduced the most important topics in Computer Vision nowadays: from object detection to generative networks. This is a must-to-do in any capacitation on AI field.

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51 - 69 of 69 Reviews for Advanced Computer Vision with TensorFlow

By Trường P T

May 6, 2021

<3 Awnsome course

By Laby D C

Aug 6, 2022

Excellent course

By Ariz M

Jun 13, 2022

it was Great!!

By Harsh K

Jun 13, 2021

Amazing course

By Javier B

Jul 6, 2021

very nice

By Socrates M

Mar 2, 2021

Amazing!

By Justin H

Jul 17, 2023

Brutal.

By Ignacio L

Apr 26, 2021

I would have loved that the focus was more on the side of "how to deploy this systems" , not always be using the seme datasets and at least one of the weeks should be, how to detect some random stuff and deployed that and use it with your webcam for example. Will switch dificulty to the maximun also in the website.

By Merlin S (

Jul 7, 2021

Neat course although I did not like the part on the Object Detection API, which felt a bit ad-hoc to me, and I would've loved to hear more about the analysis that amounted to ZFNet (a reference is given though). Other than that, it nicely picks up the knowledge from the previous courses and applies it.

By Roberto S

Aug 28, 2021

We have managed some state of the art image detectors but we haven't go in deep with them.

Specially with tf od API, we have managed some layers for feature extraction but without understand why.

By Brian T

Apr 3, 2021

This is a bit of a step function in terms of increased difficulty and decreased clarity in the advanced computer vision specialization. I gained a lot of useful skills.

By anuj j

Jan 13, 2024

The last assignments evaluation metric is not appropriate. Kindly change the way you evaluate the code from ssm

By SOUVIK G

Sep 15, 2022

it was a very wonderful experience

By Swapnil S

Aug 17, 2022

Good Course

By Todd R

Sep 4, 2022

It was interesting, but if you have an idea that is not represented by data in a dataset, for instance people, cars, cats , dog, birds, mammals, plants or horse, you will be doing the very basic stuff . Anything other than the data mentioned will require long hours to get images into a folder and program it. I would have liked to figure out how to use this to read a dvd file of a CAT scan, but that was too much for me. It states online that some data sets of unrelated things can be used to read a CAT scan. I don't understand how to do that.

By Sean Y

Jun 23, 2021

Some of the assignments were really diffucult. This in and of itself is not a bad thing. I think what is needed is faster help/response times from tutors and more tips/hints for common errors

By Péter P

Jul 26, 2021

We saw a couple of very practical examples but finishing the course didn't leave me with a sense of accomplishment. I basically just copy-pasted stuff from one notebook into the next.

By Dan W

Sep 19, 2023

There are dead links. This course is not nearly as well organized as the previous 6 in the Tensorflow/ Advanced Tensorflow continuum. The content is useful, though.

By AMIT K S

Feb 12, 2023

Coursera & the course provider shows very poor standards in assignments. None of my assignment submitted without complaint. Course provider made all assignment with very poor ethics, all is good, you pass in the colab but on submission grader not taking your model. And no bug/error shown or proved why this this thing happen. Course provider didn't provide valuable information which we need to complete the assignment, he leaves much on the user and on the colab to manage.