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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,651

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


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..


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:

426–450 из 1,179 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Vinh T

6 июня 2020 г.

Thank you very much. This course is very useful fro me.

автор: Julian R

11 апр. 2020 г.

Muy buen ! Cubre lo fundamental y tiene ejemplos claro!

автор: Vineet K

11 апр. 2020 г.

Content and assignments were very relevant and helpful.

автор: Mukkul N K

22 нояб. 2019 г.

Very nice course. I learned many wonderful techniques.

автор: Bandelier L

19 нояб. 2019 г.

Nice because very quick to have good efficient basics !

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: Farhodbek S

6 дек. 2021 г.

Very useful corese for learning Tensorflow framework

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: Chi-lieh L

16 мар. 2022 г.

Good rate of progression to more complicated topics.

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!!! ...