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Voltar para Convolutional Neural Networks in TensorFlow

Comentários e feedback de alunos de Convolutional Neural Networks in TensorFlow da instituição

4,788 classificações
718 avaliações

Sobre o curso

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 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 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....

Melhores avaliações


Mar 15, 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..


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.

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676 — 700 de 715 Avaliações para o Convolutional Neural Networks in TensorFlow

por Frank W

Jul 17, 2020

The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.

por Michael E

Feb 14, 2020

Would like to have seen some information on techniques such as batch normalization and residual layers.

por Sajal C

Mar 31, 2020

Course is good however there can be programming assignments for better practice.

por Ashish J

Jul 03, 2020

this could have been better if object detection and segmentation was a part of

por Enyang W

Nov 06, 2019

too easy! not much to learn actually. all the videos could be one lesson only

por vedansh s

Sep 13, 2019

The concepts are not as clear as in other courses.

Dissapointed a little bit

por Wellington B

Aug 05, 2019

need to watch Andrew Ng's course on deep learning before watching this one

por Joey Y

Aug 04, 2019

The course seems to be getting more loose than the first course.

por Moustafa A S

Jun 26, 2020

the same problems with the auto graders, it's exhausting sadly

por Pranav H

Dec 02, 2019

Coding exercises should be made compulsory and for the grade

por Eyal B

Feb 16, 2020

Didn't provide a real understanding for transfer learning

por Mouafek A

Jan 04, 2020

not much of insights or details, and it's too easy!

por Alejo G

Oct 06, 2019

A lot of boilerplate code with few new concepts

por Bojiang J

Mar 08, 2020

Content too easy and not engaging....

por Navid H

Sep 15, 2019

I wish it had real assignments

por Samyak J

Aug 02, 2020

exercises are not very clear

por Xiaojing S

Apr 06, 2020

course is a little too easy.

por Pallavi

Mar 12, 2020

It was not great and good

por Yuxuan C

Apr 12, 2020

A little bit too easy.

por Luiz C

Jun 11, 2019

not challenging enough

por Victor M

Mar 19, 2020

Contenido superficial

por Igors K

Oct 26, 2019

I wish it used TF2.

por Masoud V

Aug 21, 2019

Useful but too easy

por Gerard C I

Nov 20, 2019

to much shallow

por Li P Z

Jan 19, 2020

If you have taken Andrew's courses in ML or deep learning, you will be disappointed. The amount of content in the videos and exercises is shrunk down by 75% per week. I think a much better job could have been done of structuring the course, and creating meaningful exercises. The instructor does an OK job of showing you how to use TF, but he doesn't always explain things very clearly, and doesn't always have an accurate understanding of how ML or deep learning works.