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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
Оценки: 2,001
Рецензии: 282

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.

SS

Dec 09, 2019

Very clear explanation on the concepts at the higher level and practical application of it is discussed, demonstrated and also the exercises are of the same way. You will just love learning this way

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251–275 из 279 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Masoud V

Aug 21, 2019

Useful but too easy

автор: Shubham A G

Aug 25, 2019

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

автор: Mohammed F

Jul 06, 2019

Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.

автор: Jingwei L

Aug 30, 2019

The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.

автор: Alejandro B G

Sep 03, 2019

Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it

автор: Navid H

Sep 15, 2019

I wish it had real assignments

автор: Michael R

Sep 18, 2019

Actually a great course. Only not getting more stars due to the issue encountered with the last exercise where there is an issue in loading the data files. The workbook keeps on crashing and there is no solution provided to resolve that.

автор: Marc-Antoine G

Nov 13, 2019

Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.

автор: David H

Nov 17, 2019

Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.

автор: Gerard C I

Nov 20, 2019

to much shallow

автор: Bakhtawar U R

Dec 09, 2019

Good but too basic.

Specialization's first course already covered the basic of tensorlfow. This course is suppose to expose to sota topics in computer vision using cnns. The content in this course can be easily fetched from many online forums. Thus the curators need to put some advance topic like attention, spatial transformer etc etc

автор: Aleksey V

Nov 22, 2019

complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.

автор: vedansh s

Sep 13, 2019

The concepts are not as clear as in other courses.

Dissapointed a little bit

автор: Alejo G

Oct 06, 2019

A lot of boilerplate code with few new concepts

автор: Igors K

Oct 26, 2019

I wish it used TF2.

автор: Enyang W

Nov 06, 2019

too easy! not much to learn actually. all the videos could be one lesson only

автор: Samuel K

Nov 02, 2019

Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.

автор: Dirk H

Nov 07, 2019

If you have taken the first course of the specialization this class was repetitive at some points. I also did not like that there have not been graded coding problems. I still got some practice and learned some new techniques.

автор: Philip D

Sep 05, 2019

A good course, but again, not nearly as in depth as the original deeplearning.ai set of classes. The material feels introductory and at times superficial, with no real work required of the student to complete the class. At best a very early start to using convolutional networks with the keras apis in tensorflow.

автор: Raul D M

Nov 01, 2019

It is a good course for a fast overview on this topic. Be aware that it is not an introduction on ConvNN (but there are several courses of deeplearning.ai on this topic). If you are looking for a detailed course on Tf for ConvNN, I suggest you a book, the official documentation.

автор: Madhav A

Oct 16, 2019

The course is good for beginners as it is very basic. It needs more advance topics like Detection using TensorFlow. Have a lot of scope for improvement.

автор: Sailesh G

Nov 02, 2019

Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.

автор: Pranav H

Dec 02, 2019

Coding exercises should be made compulsory and for the grade

автор: Wellington B

Aug 05, 2019

need to watch Andrew Ng's course on deep learning before watching this one

автор: Parth

Sep 12, 2019

coding assignment should be included otherwise it is easy to get certificate