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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,644

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


12 нояб. 2020 г.

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!


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..

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501–525 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Rich H

27 июня 2020 г.

Fantastic! I learned so much!!! Love it!

автор: Madhumitha S

14 июня 2020 г.

excellent explanations and lucid content

автор: Oscar S D

5 мая 2020 г.

Excellent course with challenging tasks!

автор: thalla p

9 мар. 2020 г.

well planned, to dip into deep learning.

автор: Xu Y Z

28 нояб. 2022 г.

I gained a lot from doing the homeworks

автор: winniefred m b

16 мая 2021 г.

Loved the labs, they were very engaging

автор: Ogunkeye F

18 июня 2020 г.

Very well detailed course. I enjoyed it

автор: S. M F

14 апр. 2020 г.

I wish it had more weeks to learn more!

автор: Alejandro B S

9 апр. 2020 г.

good course, the instructe its the best

автор: swaraj b

5 авг. 2019 г.

Truly breath taking course ware design.

автор: SAHARSH A

26 июня 2019 г.

compel the submission of ungraded tests

автор: forsa o

17 мая 2021 г.

simple focused and greate thanks a lot

автор: Ridvan O

19 нояб. 2020 г.

I love the way how Laurence teaches!!!

автор: Sigurd G L F J

29 окт. 2020 г.

Very well explained and very good labs

автор: Aayush G

21 окт. 2020 г.

Excellent Course -Much Understandable.

автор: M. H A P

13 сент. 2020 г.

Great course, very short but efficient

автор: Shivender K

24 авг. 2020 г.

Amazingly simple and insightful course

автор: Yeasir A T

12 мая 2020 г.

Nice course. please increase the sound

автор: Magomet A

1 июля 2019 г.

Great course! Learned a lot about CNNs

автор: John P

22 июля 2022 г.

very informative and well structured.

автор: David W

16 дек. 2020 г.

Another great course, thanks Laurence

автор: Vikash K

14 июля 2020 г.

A must for Deep Learning enthusiasts.

автор: Roshan C

2 авг. 2019 г.

A must learn course. Totally loved it

автор: sri h

1 авг. 2019 г.

Excellent efforts and great Teaching!

автор: amin s

28 мая 2019 г.

one of the finest courses on coursera