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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.


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!

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351–375 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Martin T

21 янв. 2022 г.

Me gusto mucho el curso, sobre todo la idea de generar imagenes digitales !!

автор: Deepen s

5 нояб. 2020 г.

Excellent course to learn more about CNN and deep learning with tensorflow.

автор: Deleted A

27 окт. 2019 г.

I liked a lot, was really straid to the head on the basics to practice CNN.

автор: Nakshatra G

30 нояб. 2021 г.

Overall the course is great.

But the exercises need more clear instructions

автор: Kathiresan S

26 нояб. 2020 г.

I feel the last assignment should have more hints. Great course otherwise!

автор: Balaji S

12 сент. 2020 г.

The best option those who want to start computer vision / pure DL category

автор: Madhur G

13 авг. 2020 г.

It covers all the details of implementation of CNN in TensorFlow in depth.

автор: zied

24 нояб. 2019 г.

Most of the question in the discussion, there is not somehow replies to it

автор: Aditya B

4 сент. 2019 г.

Great way to get started with deep learning and perform transfer learning.

автор: Hemesh C

28 июня 2020 г.

The Best Course for CNNs in TensorFlow out there. Mentors did a great job

автор: SATISH G

7 июня 2020 г.

this course is very helpful for me to learn about machine learning and ai

автор: Isaac A

16 февр. 2020 г.

excellent course! very informative and very well organized and delivered!

автор: Jyotin P

18 авг. 2020 г.

very good course.would recommend for all practitioners of deep learning.

автор: 杨逸飞

10 авг. 2019 г.

easiler to understand than other course. I will recommend to my friends.

автор: Mustafa C

12 мар. 2022 г.

It was a great course that because complex theoric things told simply.

автор: Yevhen D

24 янв. 2021 г.

Awesome course. Like short videos and greatly constructed assignments.

автор: Rishabh R

26 июня 2020 г.

best course to guide you on how to use tensorflow for CNN applications

автор: Pratama A A

18 июня 2020 г.

Love the course,take it ,it requires big effort to finish but funny :D

автор: Nissan D

19 апр. 2020 г.

Great course. Learned a lot about machine learning and neural network.

автор: Arun K

16 мар. 2020 г.

the conv and transfer learning and other are good hands on experience

автор: Mostafa G

5 авг. 2019 г.

Excellent course to take after completing Deep Learning Specialization

автор: Aniruddha S

3 июля 2019 г.

Nice Course but little tricky when making directories.

Learned so much.

автор: Andrew C

2 мар. 2021 г.

I feel more confident to face real-world problems! Thank you so much!

автор: Preyansh D

18 окт. 2019 г.

It a wonderful course includes real world problem solving techniques.