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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

4.7
звезд
Оценки: 7,057
•
Рецензии: 1,100

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 deeplearning.ai 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 deeplearning.ai 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

RB
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..

MS
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:

376–400 из 1,102 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Alexey A

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31 мая 2020 г.

Great course! Especially final programming task is the best

автор: Shubham

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11 мая 2020 г.

It was a relatively easy course but a good one nonetheless.

автор: Muhammad A A K

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20 дек. 2019 г.

I ready enjoyed learning this course. It was truly awesome.

автор: Pachi C

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26 июня 2019 г.

Great course and fantastic professors (Laurence and Andrew)

автор: Mohsen P

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30 нояб. 2021 г.

It is a practical course for computer vision applications.

автор: Pravin B

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26 февр. 2021 г.

Excellent course to brush up the knowledge and learn more.

автор: Alistair W

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23 апр. 2020 г.

Great course - easy to follow. Clear, concise and fun! :-)

автор: Peter B

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13 сент. 2019 г.

An amazing course that was written by masters of the field

автор: Lợi L N

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5 окт. 2021 г.

nice course, explain really clear and easy to understand.

автор: Allan H

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19 сент. 2021 г.

Well explained and quite thoughtful. Thanks Dr. Moroney!

автор: Muhammad h

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8 мая 2020 г.

Amazin Experience was with course tutor. I love coursera.

автор: Thrilok N

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5 апр. 2020 г.

So much learning in a very short period, feeling amazing.

автор: Andrew S

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25 февр. 2020 г.

Great course! Really helped me learn the basics of keras.

автор: Phạm Đ T

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5 мая 2021 г.

This course help me a lot to practice in Neuron Network.

автор: Banu B

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29 авг. 2020 г.

The teacher is so amazing!! The content was fun to learn

автор: Leo C

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3 мая 2020 г.

Very little info overall, but also very quick to finish.

автор: Sachin

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14 февр. 2020 г.

The Way this has been driven, I never felt disconnected.

автор: Max W

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2 дек. 2019 г.

Excellent structure and code alongs with great examples!

автор: WERE, D W

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14 авг. 2019 г.

An awesome opportunity to learn CNN and its application.

автор: Isaac A A

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5 авг. 2020 г.

The concepts are quite straightforward and enlightening

автор: Vinh T

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6 июня 2020 г.

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

автор: Julian R

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11 апр. 2020 г.

Muy buen ! Cubre lo fundamental y tiene ejemplos claro!

автор: Vineet K

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11 апр. 2020 г.

Content and assignments were very relevant and helpful.

автор: Mukkul N K

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22 нояб. 2019 г.

Very nice course. I learned many wonderful techniques.

автор: Bandelier L

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19 нояб. 2019 г.

Nice because very quick to have good efficient basics !

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