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

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7,430 classificações

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 deeplearning.ai 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 deeplearning.ai 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

JM

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.

MS

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!

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826 — 850 de 1,158 Avaliações para o Convolutional Neural Networks in TensorFlow

por luis a

29 de set de 2019

The course was fine sometimes I feel too easy. I would like to see more of the available options for the layers, such as padding, stride. filter size, mean average, batch normalization, etc...

por nick b

17 de ago de 2021

Good one for understanding convulutional networks. But the last assignment is not good. No explanation and you need to change the code provided to finish it. What they say you should not do.

por C A

23 de dez de 2020

Assignments are good, but it should concentrate more on the actual problem rather than the file reading or any nitty gritty details without any hint. Thanks , this course is good in overall.

por Rajesh R

14 de jun de 2020

Great course to learn newer aspects of TF. For me a great revision of ConvNets and a confidence builder. If there's one thing I'd fix, it would be the autograder and how often it crashes.

por Amit G

24 de jun de 2021

I liked this course, and also the way progression is taking place but the time required to complete this course needs to be reevaluated. This course can be finished in 8-10 hours easily.

por Dr. A K D

24 de set de 2020

Found the hands-on not very interesting. Couple of them focussed on file handling and stuff rather than on more important stuff that getting into the hoods of transfer learning, etc.

por Rakesh G

16 de jan de 2020

I think this was a good course but the standard of exercises and quizzes was too easy. More conceptual questions especially in quizzes would help in understanding the topic better

por ashish s

22 de abr de 2020

Overall good. Could have gone in bit more depth on how various hyper parameter tuning and regularization methods impact the model training. Provide some best practices tips .

por Gerardo S

26 de set de 2019

the last exercise needed a big upload, made it imposible (for me) to do. This was a problem not related to the subject, should use data downloadable directly from internet.

por Sokratis A

30 de mar de 2021

Most of the Programming Assignments are a copy-paste routine from colab notebooks provided

the last one was pretty challenging though ^_^

(Im experienced in Programming)

por Eric L

10 de dez de 2020

This course only requires few hours of work and I would like to see more depth. The parts on image augmentation and transfer learning were pretty interesting though!

por Luciano C

31 de dez de 2020

Curso muito legal, a única coisa que ficou um pouco abaixo do esperado foi o último exercício da quarta semana, não foi construído com o cuidado visto nos outros.

por Vishwanadha K V

22 de jun de 2020

The assignments are not challenging enough. The concepts are really well explained and for someone with no background in this area, this is a great learning asset

por Dimitry I

10 de ago de 2019

Very good course that teaches you basics of convolutions, augmentation, transfer learning. Thank you to Mr. Moroney and the Coursera team for making it available.

por vaibhav t

26 de jun de 2020

The course was good. The only problem was the last assignment where some of the functions went missing. It was difficult for a beginner to catch such glitch

por chaitanya m

15 de abr de 2020

The best course to do. Especially after the specialization course from Andrew. It is really helpful to code all the concepts you learned from Andrew course.

por Ujjwal G

16 de nov de 2019

I think most much of the course conent was same as the first course, this course could have been a little more advanced. But overall a great place to start.

por Moritz R

24 de jan de 2021

Very nice the step from the first course was really nice. The achievements were harder to reach an all over the cose was less buggy than the first one. :)

por Shubham G

29 de jan de 2022

Last coding assignment was not clear. Eg- Why is there a model.evaluate line at the end when we are already checking validation accuracy in fit generator

por Estefania T

2 de jun de 2020

The contents are a bit light from my point of view. I get it is to be accessible for more people but math and explanations are in some cases important

por Toqa A M

4 de abr de 2021

it was great course but I need some more details and the speaking was a little difficult as some of words are slang and the translation was so bad

por Subham S

23 de dez de 2019

The course content was quite good and overall understandable but the exercises and quizzes were quite easy, they could have been more challenging

por Pray S

23 de abr de 2020

The hand sign assignment need more explanation about using flow object from ImageDataGenerator since I just know only flow_from_directory object

por DING T K

14 de fev de 2021

Learn a lot for CNN in this course, but require advance knowledge in Python & Numpy to understand the code as it was not explain in the course.

por 屈佑平

28 de nov de 2020

Exercise_4_Multi_class_classifier_Question-FINAL has problem if you entirely follow the tips, you can find the correct code in the forums.