Chevron Left
Вернуться к Advanced Computer Vision with TensorFlow

Отзывы учащихся о курсе Advanced Computer Vision with TensorFlow от партнера deeplearning.ai

4.8
звезд
Оценки: 293
Рецензии: 50

О курсе

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....

Лучшие рецензии

EN
30 сент. 2021 г.

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

MS
17 апр. 2021 г.

One of the finest in depth course on computer vision. So much helpful if anyone wishes to dive into application oriented tasks of computer vision. Very much helpful for research also.

Фильтр по:

26–50 из 51 отзывов о курсе Advanced Computer Vision with TensorFlow

автор: Serge T

8 февр. 2021 г.

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

автор: GOPU V R M K 1

22 апр. 2021 г.

Fantastic course on Advanced Computer Vision with Tensorflow.

автор: Mohammed Z D

5 дек. 2021 г.

It's the most fascinating course so far. Thank you so much.

автор: Belaid C

22 мая 2021 г.

Tank you. I have learned a lot of technical skills

автор: Alexander A

29 нояб. 2021 г.

Great course! But CV models is soooo expensive :D

автор: Animesh

7 февр. 2021 г.

nicely designed course. great instructor too! : )

автор: Aleksandr S

31 янв. 2021 г.

Excellent course with theory and practical tests.

автор: 西川 尚之

15 янв. 2021 г.

This course is very exciting and useful ! Great!

автор: Ed H N C

23 янв. 2021 г.

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

автор: Syed N H

6 февр. 2021 г.

One of the best course I have ever done <3

автор: Duc A L

25 окт. 2021 г.

This course can upgrade your skills

автор: Shafique K

5 сент. 2021 г.

New learning in my learning bucket.

автор: Ali E

19 авг. 2021 г.

so informative and practical course

автор: Alexander Z

21 февр. 2021 г.

Very usefull course. Thanks!

автор: HABIB M

31 мар. 2021 г.

it's a very good courses

автор: Jorge S

29 мар. 2021 г.

Best content around !

автор: Trường P T

6 мая 2021 г.

<3 Awnsome course

автор: Harsh K

13 июня 2021 г.

Amazing course

автор: Javier B

6 июля 2021 г.

very nice

автор: Socrates M

2 мар. 2021 г.

Amazing!

автор: Ignacio L

26 апр. 2021 г.

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.

автор: Merlin S

7 июля 2021 г.

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.

автор: Roberto S

28 авг. 2021 г.

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.

автор: Brian T

3 апр. 2021 г.

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.

автор: Sean Y

23 июня 2021 г.

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