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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 4,788
Рецензии: 718

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:

576–600 из 715 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Ma Y

Jun 19, 2020

Excellent materials and assignments! May be lectures can be a bit longer.

автор: Shaun M

Feb 23, 2020

greaded assignments are needed as they help to understand the code better

автор: vikas l

Jun 07, 2020

This Covers pretty well more than basics and dig little deep into CNNs.

автор: Ahmed K M

May 19, 2020

Focusing more on the code for python beginners would be much better!

автор: Rishabh B

Feb 01, 2020

Could have had tougher exercises. Great basics course nevertheless!

автор: Xiangzhen Z

Aug 18, 2019

a little bit too easy compared to Andrew Ng's deep learning course.

автор: Zhou D

Jun 19, 2019

actually I hope there will be the implementation of detection task

автор: Amardeep S

Dec 29, 2019

The homework assignments should be required and more challenging

автор: Sharvil G

Aug 06, 2019

Transfer learning part should have been in more detail. Thanks.

автор: Ifrah M

May 14, 2020

A little bit of more explanation of the notebooks are required

автор: Muhammad U

Aug 18, 2019

A well taught course with interesting coursework and projects

автор: Bethel R H

May 11, 2020

One of the best courses offered by community

автор: Adnan Q

May 04, 2020

Very good course dealing with image convolutions and CNN

автор: Salem S

Apr 02, 2020

apart from the technical issue, the course is fantastic

автор: Vitalii S

Nov 25, 2019

Too easy with good background and fast passing course.

автор: Vittorio R

Oct 06, 2019

Good, but expected more, for example object detection.

автор: 陈浩然

Sep 05, 2019

Please transfer the notebook from CoLab to Coursera.

автор: Robert G

Dec 11, 2019

I would like to see examples with videos, yolo, etc

автор: KHODJA

Oct 02, 2019

A more advanced course would be highly appreciated.

автор: Ruiwen W

Jul 23, 2020

Assignment material not very aligned with lectures

автор: Ahmet K

Dec 30, 2019

Nice course! All detailed and explained. Thanks!

автор: Kailyn W

Sep 09, 2019

I need more coding practice, not just quizzes.

автор: Michel M

Aug 06, 2019

The final assignment was somewhat a steep step

автор: Zhi Z

Jul 06, 2019

A good course for Keras but not for tensoflow.

автор: Prabhat K G

May 29, 2020

Last assignment needs much more explanation