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Voltar para Convolutional Neural Networks in TensorFlow

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

7,331 classificações
1,138 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


12 de nov de 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!


11 de set de 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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851 — 875 de 1,140 Avaliações para o Convolutional Neural Networks in TensorFlow

por Przemysław D

27 de set de 2019

Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.

por Balaji K

7 de ago de 2020

Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !

por Bhabani D

5 de jan de 2020

Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.

por Ricardo F

31 de mar de 2020

Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!

por Benjamin S

12 de out de 2020

A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.

por Ibrahim M

6 de mai de 2021

Programming assignments need a little more comments and illustration to save more time. But it still amazing course

por Wiput T

29 de jul de 2020

It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project

por Brian D O

11 de mar de 2021

The lectures are great but some of the programming assignments deviate from the code taught and lack guidance.

por Josian Q

1 de mai de 2020

Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.

por Jaap d V

11 de mar de 2020

Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life

por Kevin H

12 de abr de 2020

End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.

por Carlos D R

14 de fev de 2020

Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso

por Arpit G

7 de jan de 2021

Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.

por Dr P M P

19 de dez de 2019

Course is good to start but it should include other aspects of neural network than image processing.

por Muhammad A B

18 de out de 2020

This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!

por Yeo L K

18 de out de 2020

A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.

por ERIC W D S

21 de jul de 2020

This rate refers to my global opinion. I had some trouble in the third week project send. Thanks.

por Sai S V K

28 de jun de 2020

Assignments could be a little more tedious. Over all explanation of content in the course is good

por Meenali S

29 de out de 2021

Instructions of assignments for Course 2-Week 4 were not clear. Overall the course is very good.

por Antoine A

2 de jan de 2021

Good course overall, but the exercise of the end of week 4 was really badly conceived/explained

por Ana C

25 de jan de 2020

Very interesting course. I've learned a lot. I would like to have a little more advanced topics

por Tudor M

11 de mar de 2021

Some assignments are quite vague and can take up a lot of time to findout what the problem is.

por Yuliya M

6 de jan de 2020

It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.

por Dr. H H W

5 de set de 2019

Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.

por Shivakeshavan

7 de ago de 2020

Course was great but instructions for the coding exercises could be a little more explicit.