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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,165
Рецензии: 1,116

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!

Фильтр по:

251–275 из 1,116 отзывов о курсе Convolutional Neural Networks in TensorFlow

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: 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: Chi ( M

11 авг. 2019 г.

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

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: Bảo 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

автор: Роман Л

5 мая 2020 г.

Its wonderful course! I've learnt how to make data augmentation and transfer learning with tensorflow.

автор: Francis G

30 апр. 2020 г.

It was a great course but we should add more diagrams to understand what we are doing in code!


автор: Nantogma S

3 февр. 2020 г.

This is an excellent course that got me up and running on CNN and TensorFlow. Thanks to the instructor

автор: Vaseekaran V

10 окт. 2020 г.

Really great intro to using ConvNets. Thanks a lot Laurence Sir and Andrew sir for this great course.

автор: Kabakov B

19 окт. 2020 г.

Programming tasks are meaningful, short and transparent. Not like in NLP/Healthcare Specializations.

автор: Shivam R D

12 сент. 2020 г.

This course gave me thorough knowledge of CNN.Thanks Laurence Moroney and Coursera for this course.

автор: Scott Q

6 дек. 2019 г.

Laurence and Andrew are great and the course is just what I need to get a start in Machine Learning.

автор: Saptashwa B

16 окт. 2019 г.

Very effective notebooks and the suggested resources along the way were helpful. Enjoyed thoroughly!

автор: Kenechukwu N

10 сент. 2019 г.

This is a great course but I will advise taking Andrew's "Deep Learning Specialization" before this.

автор: Chirag S

1 авг. 2019 г.

Laurence is just awesome. Kudos to his team and special thanks to Coursera and team

автор: George M

23 дек. 2020 г.

Very good course in providing the basics on how to make a multi-class classifier with limited data.

автор: Francisco P

21 окт. 2020 г.

The labs are really helpful to understand the concepts! so far the labs that I have liked the most!

автор: Deepak K

14 окт. 2019 г.

The course is really amazing in the way it is taught. Perfect combination of practice and guidance.

автор: Abdelrahman M

15 дек. 2020 г.

I hope you give more sessions before the last assignment it needs more explanation for the details

автор: 全玉湖

2 авг. 2019 г.

These wonderful courses help me learn a lot, and I really want to thank the teacher and the staff.

автор: Malik H

3 янв. 2022 г.

Amazing. I have learned many things. I really like because this involves practical implementation