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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

4.7
звезд
Оценки: 6,816
Рецензии: 1,059

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 deeplearning.ai 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 deeplearning.ai 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

JM
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.

RB
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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151–175 из 1,053 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Ulugbek D

18 нояб. 2019 г.

The course is straight to the point. The instructor provides his code structure too, which can be a great reference to people are keen on implementing the TF right away.

автор: Elson D

7 июня 2020 г.

Awesome Course. This course has enriched my concepts in Convolutional Neural Networks. This course also motivated me to do more courses on Coursera. Thank you Coursera!

автор: Himanshu S

25 мая 2020 г.

Thanks to Instructor for this wonderful course.I learned various techniques including CNN,Data Augmentation and Transfer Learning along with Multi Class Classification

автор: Ілля К

12 нояб. 2020 г.

Deep, comprehensive and step-by-step introduction to CNN. Explanations are easily formulated and can be understood by non-expert users which seek to learn about CNNs.

автор: Clark L

8 июня 2020 г.

Good Stuff! Learned about data augmentation with Tensorflow Data Generators. I also learned about transfer learning and how to retrain part of a pre-existing model.

автор: Saikat M

26 апр. 2020 г.

The course met the expectation of having hands on assignments as well as explanation of the codes and obviously course instructor Mr. Laurance made the learning fun.

автор: Giuseppe S

19 апр. 2020 г.

A great exploration of how CNN can be used with large datasets and how to deal with some of the issues that might arise when dealing with large and complex datasets

автор: Lijun L

15 апр. 2020 г.

Excellent classes and materials, it make me feel image classification is so simple even though I still struggled in the assignment. Need to study and practice more.

автор: Erdem Ç

8 июля 2020 г.

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..

автор: Lawrence K

14 июня 2019 г.

Hands on practice and I love the videos after each lab that explains all we encountered during the lab. I highly recommend this course to anyone interested in CNNs

автор: Mario C M

8 июня 2020 г.

Great course. Laurence is a great instructor. This course gives you more confidence to deploy your own convolutional neural networks and machine learning models.

автор: ravikiran

4 июля 2019 г.

Wonderful Course!! stick to the basics slowly introducing methods to improve accuracy metric and in parallel taking care of overfitting. I thoroughly enjoyed it

автор: Abolfazl S

21 дек. 2019 г.

I learned A LOT in this course just by using Tensor Flow to perform state-of-the-art image processing. My special thanks and gratitude to Laurence and Andrew.

автор: Meet D

3 нояб. 2020 г.

I have learned Transfer Learning, Image augmentation. The Course is very interactive.

I hope will use this knowledge to develop meaningful work in my career.

автор: Gautam K

14 июля 2020 г.

This course has been very helpful in learning the implementation of CNN. I am very thankful to the course coordinator and Coursera for this awesome course.

автор: L V K S R B

9 окт. 2020 г.

Felt great working with computer vision on handling different types of obstacles with some smart solutions. Great help to boost my dl experience.

Thank You!

автор: Christopher G

2 авг. 2019 г.

Excellent course. Enabled me to quickly get a grasp of this topic so I could go on to further learning and application. Perfectly designed course for this.

автор: Kim K L

21 мая 2019 г.

A brilliant hands-on course that really gets the student into ML with tensorflow / keras ... Also lots of kudos to our teacher Laurence for a great course.

автор: Roman V

12 апр. 2020 г.

Very practical and useful course. It really helps to build a few models yourself instead of just reading about it to fully understand potential of CNNs.

автор: Anamitra M

19 сент. 2019 г.

Superb course. Complex topic such as transfer learning, and image augmentation have been beautifully covered, along with easy to follow implementations.

автор: Junyi B

8 июня 2020 г.

Very Detailed explanation on CNN! Transfer Learning and Augmentation are really good materials! Everything is well-structured and easy to work on with!

автор: Priscilla V A

18 апр. 2021 г.

This class is awesome, unfortunately the notebooks in week 3 and 4 (if I'm not mistaken) have some errors that we need to cross the rules and debug it

автор: MOHAMMAD A U

11 мар. 2020 г.

Excellent course. Convolutions are great way of making machine learning effective

I would like to thank Laurence Sir

and a Special thanks to Andrew Sir

автор: mark k

13 авг. 2019 г.

Very interesting course that starts to explore some more advanced topics of machine learning, in particular, Image Augmentation and Transfer Learning.

автор: Okta F S

9 авг. 2020 г.

This is really good course. By taking this course, I can get fundamental concept about how to write tensorflow code for image classification problem.