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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,645

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


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!


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 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Juan C B

5 авг. 2019 г.

Excelente el curso, lo recomiendo!

автор: Maryam d M C G

10 мая 2021 г.

Best course of the specialization

автор: KANDULA K R

1 сент. 2020 г.

Awesome course with nice content.

автор: Putu A P W

3 мая 2020 г.

great course, easy to understand!

автор: Milton H A G

20 апр. 2020 г.

Great course, interesting content

автор: Cristian E M V

26 мар. 2020 г.

excellent teachers and examples !

автор: Shuhei O

30 дек. 2019 г.

fantastic material and instructor

автор: Efstathios C

14 дек. 2019 г.

Thank you Laurance! Thank you Ng!

автор: YUXIN Z

21 дек. 2020 г.

Excellent and very practical !!!

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: Sarvesh V K

14 дек. 2022 г.

Very informative and helpful.

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!