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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

4.7
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Оценки: 4,795
Рецензии: 718

О курсе

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....

Лучшие рецензии

JM

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.

RB

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..

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526–550 из 715 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: H M A r

Oct 02, 2019

The course is really nice. But would be better if the convolutional layers were a bit more detailed. It was a bit difficult for me to understand all the parameters e.g: input/output filter size.

автор: luis a

Sep 30, 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...

автор: Rajesh S

Jun 14, 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.

автор: Rakesh G

Jan 17, 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

автор: ashish s

Apr 22, 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 .

автор: Gerardo S

Sep 27, 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.

автор: Vishwanadha K V

Jun 22, 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

автор: Dimitry I

Aug 10, 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.

автор: vaibhav t

Jun 27, 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

автор: chaitanya m

Apr 15, 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.

автор: Ujjwal G

Nov 16, 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.

автор: Estefania T

Jun 02, 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

автор: Subham S

Dec 23, 2019

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

автор: Pray S

Apr 23, 2020

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

автор: Oleg K

Aug 07, 2020

Last assignment could have been explained better. Laurence does not talk about ImageDataProcessing.flow, despite this is the only solution

автор: Rodolfo V d A

Jul 10, 2020

I guess one thing was not studied, the method .flow() which get the images generated by keras with the dataset labeled for the final test.

автор: Abhiram

Mar 12, 2020

More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional

автор: Ghifari A F

May 14, 2020

The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.

автор: Brian ( B

Oct 23, 2019

very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.

автор: Revant T

May 20, 2020

Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.

автор: Hang N

Feb 26, 2020

This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.

автор: Przemysław

Sep 27, 2019

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

автор: Balaji K I

Aug 08, 2020

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

автор: Bhabani D

Jan 06, 2020

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

автор: Ricardo F

Mar 31, 2020

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