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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 5,559
Рецензии: 838

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


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..


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:

326–350 из 830 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Isaac A A

Aug 05, 2020

The concepts are quite straightforward and enlightening

автор: Nguyen T V

Jun 06, 2020

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

автор: Julian R

Apr 11, 2020

Muy buen ! Cubre lo fundamental y tiene ejemplos claro!

автор: Vineet K

Apr 11, 2020

Content and assignments were very relevant and helpful.

автор: Mukkul N K

Nov 22, 2019

Very nice course. I learned many wonderful techniques.

автор: Bandelier L

Nov 20, 2019

Nice because very quick to have good efficient basics !

автор: Shweta S

Jul 16, 2019

very good content and every point are explained nicely.

автор: Eduardo J M G

Sep 17, 2020

An excellent course to keep learning about AI and DNN.

автор: Juan E R

Jul 30, 2020

excellent course, great techer, all concepts explained

автор: Moinul I

Jul 26, 2020

Great explanation of everything. I have learned a lot.

автор: Kevin R

Apr 29, 2020






















ce teaches simple and convincing.

автор: ongole s s

Apr 21, 2020

learnt how to work on real projects in computer vision

автор: Chitresh K

Feb 06, 2020

Loved the content and depth of the materials discussed

автор: Walid A

Aug 16, 2019

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

автор: PRITAM J

Jul 31, 2020

Should try doing this course with Andrew ng courses.

автор: Miguel R

May 01, 2020

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

автор: MOHAN S S T

Jan 08, 2020

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

автор: kripa s

Jan 02, 2020

Very informative for those who are new in tensorflow

автор: Shahriyar R

Oct 24, 2019

Decent introduction to how to use CNN and Tensorflow

автор: Daniel H

Sep 25, 2019

Great lessons to learn this technology step by step!

автор: Na

May 20, 2019

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

автор: Cookie K

Apr 05, 2020

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

автор: Ruichen Y

Mar 31, 2020

a starting point to get hands dirty on using Keras.

автор: Anwar S

Sep 21, 2020

very good contents in the right pace and direction

автор: Ed M

Sep 23, 2019

Amazing practical examples and great use of TF 2.0