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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: 5,543
Рецензии: 835

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

Mar 15, 2020

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..

JM

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.

Фильтр по:

351–375 из 830 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: ANUBHAV

Aug 21, 2020

Great course to experience CNNs using Tensorflow.

автор: Jifan Z

Aug 20, 2020

Better than the first course. Hope to learn more.

автор: Hieu N

Dec 24, 2019

Another extraordinary course from deeplearning.ai

автор: Kush S

May 24, 2019

It is one of the best courses likewise course 1.

автор: Shaukat

Jun 28, 2020

Very well paced course, learned a lot about CNN

автор: Hadj S Y

Apr 29, 2020

Great Course! So well structured and explained.

автор: Sk S

Apr 13, 2020

It was too much of a learning !!! Great Content

автор: Aditya J

Mar 23, 2020

one of the best course I have done on Coursera.

автор: Aritra R G

Mar 07, 2020

A great place to start with CNN and tensorflow.

автор: Philippe B

Jan 26, 2020

Très bon cours sur les réseaux convolutionnels.

автор: Michalis F

Sep 25, 2019

simple, to the point and good notebooks! thanks

автор: TEJAS P

Jul 08, 2020

Extremely Practical Course ! Really Enriching!

автор: Huajiang L

Sep 17, 2019

Very easy to learn. Very practical and useful!

автор: nilo b m

Sep 14, 2020

Gostei muito do curso, aprendi muitas coisas.

автор: Bohdan K V

Aug 27, 2020

The course is professionally made. Well done!

автор: Abhiroop A

May 09, 2020

Its an amazing course. 10/10 would recommend

автор: Demaison F

May 05, 2020

progressif et complet. Exercices intéressants

автор: Gursimran S

Jan 06, 2020

very very useful and powerful toll i learn :)

автор: Pham C B

May 30, 2020

good course for understand cnn in tensorflow

автор: Sabila H

May 02, 2020

Great, but the code exercise must be updated

автор: Matas U

Apr 27, 2020

Amazing course, challenging and interesting.

автор: Abid H

Jul 03, 2020

Great experience learning this course.Bravo

автор: yash n

Jun 25, 2020

Explained each and every details with ease.

автор: Charley L

Apr 19, 2020

comprehensive concepts, easy to understand.

автор: Antti R

Nov 02, 2019

Very informative, nice pace, easy to follow