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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,642

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


11 сент. 2019 г.

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.


14 мар. 2020 г.

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..

Фильтр по:

526–550 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Dongxu Y

28 мая 2019 г.

awesome and i wanna say thinks a lot.

автор: Sunu I P

7 сент. 2020 г.

Great, but less explanation in code.

автор: Michail K

15 авг. 2020 г.

last assignment is quite a challenge

автор: Shelvia A

20 апр. 2020 г.

Excellent course for beginner in CNN

автор: Vikas C

24 дек. 2019 г.

Good course for better understanding

автор: David A

23 сент. 2019 г.

Very clear and concise introduction!

автор: ujjal d

28 июля 2019 г.

Great course! Makes Learning so easy

автор: 김태한

12 нояб. 2020 г.

Thank you for this gooood lectures!

автор: Piyush K B

1 мая 2020 г.

Great Course, learnt a lot!


автор: Jaime C

24 мар. 2020 г.

excellent, a good source of insight

автор: Ananda P

15 мар. 2020 г.

Awesome..!!! Great Explanation..!!!

автор: Sourav S

6 нояб. 2019 г.

Thank you for your good explanation

автор: Md F

5 сент. 2019 г.

Hands-on and straight to the point.

автор: Chien D

12 авг. 2019 г.

Really concise and intuitive course

автор: Mauricio A

27 июля 2019 г.

Excelent content and teacher too!!!

автор: Ashish P

24 июля 2019 г.

Best Explanation easy to understand

автор: Satrio A B

31 мар. 2022 г.

the material is easy to understand

автор: Alfian A H

12 апр. 2021 г.

Very good explanation and practice

автор: Jirasak B

18 нояб. 2020 г.

Improve my tensorflow syntax a lot

автор: Onuigwe N V

4 июля 2020 г.

CNN makes easy! Excellence course!

автор: SHOHAG R

6 апр. 2020 г.

Loved the way the course is taught

автор: Palash D

23 мар. 2020 г.

Excellent Course for the beginners

автор: Mrqeoqqt

28 окт. 2019 г.

a brief intro to transfer learning

автор: aileen v

20 окт. 2019 г.

Best teachers in Machine Learning!

автор: Tsang S H

8 авг. 2019 г.

Thanks for the teaching about CNN.