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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 4,858
Рецензии: 729

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 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....

Лучшие рецензии


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.


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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551–575 из 727 отзывов о курсе Convolutional Neural Networks in TensorFlow

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!

автор: Wiput T

Jul 30, 2020

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

автор: Jose Q

May 01, 2020

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

автор: Jaap d V

Mar 11, 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

автор: Kevin H

Apr 12, 2020

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

автор: Carlos D R

Feb 14, 2020

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

автор: Dr P M P

Dec 19, 2019

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

автор: ERIC W D S

Jul 22, 2020

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

автор: Sai S V K

Jun 28, 2020

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

автор: Ana C

Jan 25, 2020

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

автор: Yuliya M

Jan 06, 2020

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

автор: Dr. H H W

Sep 06, 2019

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

автор: Shivakeshavan

Aug 07, 2020

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

автор: Andy L

Mar 23, 2020

A lot of repetition. Stack traces, and error messages in the notebooks are less than clear

автор: Fadhel A

Jan 25, 2020

I hope it will be upgraded with graded weekly test (case study and building some models).

автор: Marcos V G J

Sep 25, 2019

Good content, but lacks exercises that forces us to code ourselves to solve the problemas

автор: Shaun K

Mar 10, 2020

Found course a little lighter compared to other deeplearning courses. But great overall.

автор: Lei W

Oct 30, 2019

will be nice to have non-third party programming exercises that are graded by Coursera