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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.


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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251–275 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Akash S

24 авг. 2020 г.

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

автор: Satyam s

18 апр. 2020 г.

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

автор: Pushpak G

5 сент. 2020 г.

Again a good course which covers a lot of practical implementation of Conv nets and image classification.


автор: Laode M F

26 апр. 2020 г.

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

автор: Peter L

19 мар. 2020 г.

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

автор: Thomas M

3 февр. 2021 г.

Good course, coding challenges need more emphasis on the deep learning models, would like to code more from scratch

автор: Teshome A

14 мар. 2022 г.

Well designed, engaging and learn a lot from assigment. It is easy to understand and learn. Thak you keep it up.


4 авг. 2021 г.

It's really a great experience. I will never going to regret in taking this course. It taught me a lot of things.

автор: Tarin N

27 июня 2020 г.

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

автор: Ga W

18 мар. 2020 г.

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

автор: Harish S

4 авг. 2019 г.

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.

автор: ANMOL J

30 авг. 2020 г.

Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow


9 июля 2020 г.

Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0

автор: Raihan R

7 мая 2020 г.

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.

автор: Muthu R P E

15 нояб. 2019 г.

Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow

автор: Yasuyuki O

18 мар. 2022 г.

Really good and Intuitive to understand and worth paying money and assignments are also good (and exciting!).

автор: Ilan A

9 июля 2020 г.

Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.

автор: F M

11 авг. 2019 г.

practical guidance to CNN in image recognition. Hopefully to have a self-driving car project in the future.

автор: Sergio Á O

14 дек. 2022 г.

This is an excelent course. A good ampliation over the past course going deeper in convolutional networks.

автор: Seunggyun H

25 окт. 2020 г.

This course is a good starting point about the computer vision field with the convolution neural network.

автор: Nelson S S

11 окт. 2020 г.

In these difficult times what remains for us to continue learning.

Thanks Professors Laurence and Andrew

автор: Thành C V

11 апр. 2020 г.

It helps me a lot! I've learnt transfer learning and data augmentation by tensorflow. And thanks a lot.

автор: Bao L H

23 мар. 2020 г.

Thank you so much!

This is a course with very useful lessons!

Once, Thank for giving me this opportunity!

автор: Anoushkrit G

25 нояб. 2019 г.

Absolutely incredible course, but could have focused real TensorFlow and not the High Level API, Keras.

автор: Bhakti P

13 окт. 2020 г.

Excellent course with very appropriate explanation. Thank you very much Andrew Ng and Laurence MOroney