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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,642

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


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.


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..

Фильтр по:

926–950 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Shaun M

23 февр. 2020 г.

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

автор: Ruben A M

20 авг. 2020 г.

the course is good, however, I feel that the content is stretched a lot.

автор: Chidvilas K R

5 окт. 2020 г.

The course could have been a bit more complicated. It feels too simple.

автор: Prashant

28 авг. 2020 г.

Last week excercise was a little bit challenging ,overall great course.

автор: Vikas l

7 июня 2020 г.

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

автор: Miguel C

27 сент. 2022 г.

Needs to be updated with non-deprecated functions from Keras and TF.

автор: Ahmed K M

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.

It will be very nice to have more coding exercices.