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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
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Оценки: 3,797
Рецензии: 578

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

Sep 12, 2019

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

Mar 15, 2020

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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126–150 из 581 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Vinoth

May 28, 2020

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

автор: Siddhartha P

Mar 25, 2020

This was a great course and the quarantine restrictions keep me hooked to it. Learned quite a bit about machine learning and TensorFlow.

автор: Kellen B

Jan 31, 2020

Really explains the material thoroughly and efficiently. I really feel like I understand the use cases / applications from this course.

автор: Houssem A

Jul 24, 2019

The course is well structured and explained from trainer I feel that I have more information and get knowledge in tensorflow practices

автор: Mohanad Q A A

May 31, 2019

I hope all courses to be like this course or like andrew's ones. Very clear, easy to follow along, tons of info, direct to the point.

автор: Pablo C

Apr 06, 2020

Excellent explanations, and a lot of interesting and practical examples. Recommended if you have some experience with ML literature.

автор: Aguirre M

Mar 02, 2020

Excellent hands on course... if you have previously taken a more theoretical neural network course (for example Andrew Ng's classes)

автор: Prashant J

Apr 01, 2020

It's been a great journey about Convolutional Neural Networks. The most interesting thing of these course is Exercise on notebooks.

автор: Selçuk K

Mar 31, 2020

Great course. Thank you, Laurence.

However, I should admit submitting the exercises is a pain sometimes. Discussions help though.

автор: 邹波波

Sep 24, 2019

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

автор: Akhil K P

Jun 22, 2019

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

автор: Gustavo A

Aug 10, 2019

I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

автор: Dustin Z

May 09, 2020

Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

автор: Gogul I

Jun 22, 2019

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

автор: Carlos S

May 23, 2020

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

автор: George D

Aug 09, 2019

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

автор: Rukshan J S

Apr 27, 2020

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

автор: Sanjay R

Jul 25, 2019

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

автор: Sushant

Nov 23, 2019

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

автор: Satyam s

Apr 18, 2020

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

I have learned a lot from this course.

Thanks so much.

автор: Laode M F

Apr 26, 2020

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

автор: Peter L

Mar 19, 2020

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

автор: Ga W

Mar 18, 2020

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

автор: Harish S

Aug 04, 2019

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

автор: Md R U

May 07, 2020

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