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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 2,315
Рецензии: 333

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


Sep 12, 2019

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.


Sep 14, 2019

An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.

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151–175 из 332 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Ed M

Sep 23, 2019

Amazing practical examples and great use of TF 2.0

автор: Hieu Q N

Dec 24, 2019

Another extraordinary course from

автор: Kush S

May 24, 2019

It is one of the best courses likewise course 1.

автор: Michalis F

Sep 25, 2019

simple, to the point and good notebooks! thanks

автор: Huajiang L

Sep 17, 2019

Very easy to learn. Very practical and useful!

автор: Gursimran S

Jan 06, 2020

very very useful and powerful toll i learn :)

автор: Antti R

Nov 02, 2019

Very informative, nice pace, easy to follow

автор: Hanan S A

Jan 03, 2020

code and slides are nice and crystal clear

автор: Leo

Jun 25, 2019

Great course for Computer Vision problems!

автор: Mats E

Jul 08, 2019

Very good high-level introduction course.

автор: Oleksandr M

Jun 11, 2019

It's very clear and useful! Thank you! :)

автор: SWARAJ B

Aug 05, 2019

Truly breath taking course ware design.

автор: SAHARSH A

Jun 26, 2019

compel the submission of ungraded tests

автор: Magomet A

Jul 01, 2019

Great course! Learned a lot about CNNs

автор: Roshan C

Aug 02, 2019

A must learn course. Totally loved it

автор: sri h

Aug 01, 2019

Excellent efforts and great Teaching!

автор: Amin s

May 28, 2019

one of the finest courses on coursera

автор: Dongxu Y

May 28, 2019

awesome and i wanna say thinks a lot.

автор: vikas c

Dec 24, 2019

Good course for better understanding

автор: David A

Sep 23, 2019

Very clear and concise introduction!

автор: ujjal d

Jul 28, 2019

Great course! Makes Learning so easy

автор: SOURAV S

Nov 06, 2019

Thank you for your good explanation

автор: Farhan M

Sep 05, 2019

Hands-on and straight to the point.

автор: Chien D

Aug 13, 2019

Really concise and intuitive course

автор: Mauricio A

Jul 27, 2019

Excelent content and teacher too!!!