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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,063
Рецензии: 1,102

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:

401–425 из 1,102 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: shweta s

16 июля 2019 г.

very good content and every point are explained nicely.

автор: AMIT S

13 июня 2021 г.

i learn how to handle images while creating DL models.

автор: Missaka

28 мар. 2021 г.

Explained everything very clearly, easy to understand.

автор: Guillermo R

31 окт. 2020 г.

Good course for computer vision, challenging exercises

автор: Eduardo J M G

17 сент. 2020 г.

An excellent course to keep learning about AI and DNN.

автор: Juan E R

30 июля 2020 г.

excellent course, great techer, all concepts explained

автор: Moinul I

26 июля 2020 г.

Great explanation of everything. I have learned a lot.

автор: Kevin R

29 апр. 2020 г.






















ce teaches simple and convincing.

автор: ongole s s

21 апр. 2020 г.

learnt how to work on real projects in computer vision

автор: chitresh k

5 февр. 2020 г.

Loved the content and depth of the materials discussed

автор: Walid A

16 авг. 2019 г.

The Course is too easy but it was fun and to the point

автор: ROHIT B

26 нояб. 2021 г.


автор: Andrés P

15 авг. 2021 г.

contenido muy bien explicado, a nivel de universidad.

автор: Juan C G R

21 янв. 2021 г.

I loved this course .. very practical and good topics

автор: ANWESH B

11 янв. 2021 г.

Superb introduction to Convolutional Neural Networks.

автор: PRITAM J

31 июля 2020 г.

Should try doing this course with Andrew ng courses.

автор: Miguel R

1 мая 2020 г.

Great course! Short videos, hands-on, nice examples!

автор: Thota m s s

8 янв. 2020 г.

great techniques with one line of code great!!! ...

автор: kripa s

2 янв. 2020 г.

Very informative for those who are new in tensorflow

автор: Shahriyar R

24 окт. 2019 г.

Decent introduction to how to use CNN and Tensorflow

автор: Daniel H

25 сент. 2019 г.

Great lessons to learn this technology step by step!

автор: Na

20 мая 2019 г.

Thanks Mr. Moroney! But the course is a little easy.

автор: Cookie K

5 апр. 2020 г.

thank you so much as i learn many from this course.

автор: Ruichen Y

31 мар. 2020 г.

a starting point to get hands dirty on using Keras.

автор: Tri B M

27 нояб. 2021 г.

G​ood Deep Learning course and awesome instructors