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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,427
Рецензии: 1,154

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:

551–575 из 1,157 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Raj P

30 июня 2020 г.

Very good course For beginners.

автор: John G

5 нояб. 2019 г.

Interesting and useful. Thanks!

автор: Daniel M

29 окт. 2019 г.

I learned a lot, thank you all!

автор: ANTHONY D M G

13 окт. 2020 г.


The course is excellent

автор: Schuyler B

3 сент. 2020 г.

This is a fantastic experience

автор: Cheuk L Y

16 июня 2020 г.

Really like the last exercise!

автор: Mario T

27 июля 2019 г.

Great course. Thanks Laurence!

автор: Mohammad R

23 июля 2019 г.

Thanks for this Amazing course

автор: Darshan L

28 мая 2020 г.

Nice content about the course

автор: Shikhar S

17 мар. 2020 г.

Best course for Deep Learning

автор: Andrii C

10 дек. 2019 г.

I am grateful for this course

автор: Soharab H

4 дек. 2019 г.

Precise, apt and to the pint.

автор: Mars W

10 авг. 2019 г.

very good course,thanks a lot

автор: Sen V

23 мая 2021 г.

Challenging, yet rewarding!!

автор: Nick R

19 мар. 2021 г.

Excellent hands on learning!

автор: Zecheng W

17 янв. 2021 г.

Well structured and designed

автор: JackT T

3 янв. 2021 г.

Very nice fundamental course

автор: M. T A

17 авг. 2020 г.

best course best instructors

автор: Shaik S

3 авг. 2020 г.

Best applied learning course

автор: Subin S

1 апр. 2020 г.

great.....truly loved it!!!!

автор: Sarayut N

29 мар. 2020 г.

This course is really great!

автор: Farhan A

25 июля 2019 г.

Excellent Learning Material.

автор: Awais Q

6 янв. 2022 г.

Best and well taught course

автор: Apri J

8 июля 2021 г.

This is great course for me

автор: Yahya M I

18 апр. 2021 г.

thanks for all informations