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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:

726–750 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Ricardo L

1 июля 2022 г.


автор: Bagus A H

21 мая 2022 г.

Verry good

автор: Bintang F E

15 апр. 2021 г.


автор: Ananta B P

14 апр. 2021 г.


автор: Walter c

10 апр. 2021 г.

Very nice!

автор: 박상훈

4 сент. 2020 г.

정말 쉽고 좋습니다

автор: Andrii K

17 июля 2020 г.

Thank you!

автор: Yurii S

8 июня 2020 г.


автор: Suresh K M

31 мар. 2020 г.

Very nice!

автор: Rudra P

5 сент. 2019 г.

Thank you.

автор: Juan F

12 сент. 2021 г.


автор: Sajjad A

7 июля 2021 г.


автор: Dr. S N B

25 мая 2021 г.


автор: Sujith G

22 февр. 2021 г.


автор: Priyank S

12 февр. 2021 г.


автор: Jesus J G M

2 нояб. 2020 г.


автор: Solayman H E

11 июля 2020 г.

Very Good

автор: DongJun J

14 мая 2020 г.

very good

автор: Tarit S

14 мая 2020 г.

very nice

автор: Shahzeb I

20 нояб. 2019 г.


автор: M n n

22 окт. 2019 г.

Good One!

автор: Joe J

23 сент. 2019 г.


автор: Deleted A

30 авг. 2019 г.


автор: Hasib Z

16 авг. 2019 г.

The best!

автор: Gaurav P

8 авг. 2019 г.

Too basic