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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,165
Рецензии: 1,116

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.

12 нояб. 2020 г.

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

Фильтр по:

926–950 из 1,116 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Yufei M

26 июля 2019 г.

I think the quiz should be harder

автор: Xinhui H

16 сент. 2019 г.

Some overlap with first course.

автор: Madhu K

17 июня 2020 г.

Pretty much enhanced my skills

автор: Cheng H Z

17 дек. 2019 г.

Too little things were covered

автор: Luan T

13 окт. 2021 г.

Some labs need to be updated

автор: Lorenzo R N

9 дек. 2020 г.

Course is missing classnotes

автор: Subhendu R M

12 авг. 2020 г.

A nice well-balanced course.

автор: Rohit K S

18 сент. 2020 г.

Mind Boggling Experience!!

автор: Walter G

29 нояб. 2019 г.

A very brief quick course.

автор: Guilherme R M

10 июня 2019 г.

Bom curso, muito prático.

автор: Loutzidis A

16 мар. 2020 г.

The quiz were quite easy

автор: Prabesh G

23 мая 2019 г.

Okey.. So easy but okey

автор: tanguy c

24 апр. 2020 г.

Thanks. Enjoyed it.

автор: j_lokesh

15 июня 2020 г.

that's was awesome

автор: Patrick L

26 дек. 2019 г.

I like this course

автор: Vivek S

24 июня 2019 г.

Super cool stuff!

автор: Paulo A C

23 апр. 2020 г.

Great content!!

автор: ashraf s t m

31 июля 2019 г.

Voice is low

автор: Venkatesh S

2 дек. 2019 г.


автор: Bingcheng L

12 нояб. 2019 г.

quite easy

автор: Suraj

11 февр. 2020 г.

Too easy.

автор: Hamzeh A

6 авг. 2019 г.

Very Cool

автор: Omar M

16 июля 2019 г.

Was okay

автор: Sung-Hyun S

25 авг. 2021 г.


автор: S. M S H

21 сент. 2020 г.