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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,330
Рецензии: 1,138

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


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..


11 сент. 2019 г.

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:

901–925 из 1,140 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Ahmed K

19 мая 2020 г.

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

автор: Rishabh B

1 февр. 2020 г.

Could have had tougher exercises. Great basics course nevertheless!

автор: Xiangzhen Z

18 авг. 2019 г.

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

автор: Sergio R

9 дек. 2020 г.

Excellent course, the teacher is good, I love learning all, thanks

автор: Zhou D

19 июня 2019 г.

actually I hope there will be the implementation of detection task

автор: Amardeep S

29 дек. 2019 г.

The homework assignments should be required and more challenging

автор: Longchao J

6 февр. 2021 г.

The last assignment is poorly designed. Others are good enough.

автор: Sharvil G

6 авг. 2019 г.

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

автор: Ifrah M

14 мая 2020 г.

A little bit of more explanation of the notebooks are required

автор: Daniel A O C

3 апр. 2021 г.

El curso es útil para implementar una red convolucional desde

автор: Muhammad U

18 авг. 2019 г.

A well taught course with interesting coursework and projects

автор: Bethel H

11 мая 2020 г.

One of the best courses offered by community

автор: Fernando P

30 июля 2021 г.

amazing!! I really understand the path with TensorFlow!!

автор: Adnan Q

4 мая 2020 г.

Very good course dealing with image convolutions and CNN

автор: Paul Z

19 дек. 2020 г.

Very helpful, however, the last exercise was misguided.

автор: Salem S

2 апр. 2020 г.

apart from the technical issue, the course is fantastic

автор: Vitalii S

25 нояб. 2019 г.

Too easy with good background and fast passing course.

автор: Vittorio R

6 окт. 2019 г.

Good, but expected more, for example object detection.

автор: Taras B

23 мар. 2022 г.

I​t will be very nice to have more coding exercices.

автор: Haoran C

4 сент. 2019 г.

Please transfer the notebook from CoLab to Coursera.

автор: Robert G

11 дек. 2019 г.

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

автор: KHODJA

2 окт. 2019 г.

A more advanced course would be highly appreciated.

автор: Ruiwen W

22 июля 2020 г.

Assignment material not very aligned with lectures

автор: Gerardo S

16 сент. 2020 г.

I feel like this series of courses is too narrow

автор: Ahmet K

30 дек. 2019 г.

Nice course! All detailed and explained. Thanks!