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Вернуться к Basic Image Classification with TensorFlow

Отзывы учащихся о курсе Basic Image Classification with TensorFlow от партнера Coursera Project Network

4.6
звезд
Оценки: 745
Рецензии: 117

О курсе

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

AS

28 мая 2020 г.

Perfect for beginners to understand basics of Neural Networks for Image classification. Instructor made sure that all the details of classes used are detailed with necessary demonstrations

VP

26 июня 2021 г.

The course is very well structured and explained. It is a very good course for the beginners to understand the image classification problem and build their first Machine learning project.

Фильтр по:

101–117 из 117 отзывов о курсе Basic Image Classification with TensorFlow

автор: Sri h

29 нояб. 2020 г.

good

автор: Yasaswini D

31 окт. 2020 г.

cool

автор: Priyanka S

2 июня 2020 г.

Nice

автор: Dharmik V

12 мая 2020 г.

Good

автор: Anant C

6 июня 2020 г.

This course gives an extremely high-level overview of neural networks. The theory behind neural networks is somewhat explained, but only built-in functions are used to implement a network. You'll get an extremely high-level overview of the topic. It's a good start though if you are absolutely new to neural networks.

автор: NG, S L

14 февр. 2021 г.

This project provides an introductory level of learning classification algorithms. However, there are insufficient explanations for each step as the instructor only types without elucidating the concept behind it. It makes me feel like I am doing fill in the blanks.

автор: Konstantinos O

21 мая 2021 г.

It is not Basic. You have to know Machine Learning and good theory and relative terms to follow it. It does not explain how to set your own set of images in order to try your own test

it just a very rough tutorial of the process

автор: Panchal R J

25 июня 2020 г.

Project was good but I think the instructor should have given more insight about every coding details that was included in this project.

автор: Hristo I

23 мар. 2020 г.

Could have explained data "normalization" and standardization more. Feels like we just glossed over a bunch of things.

автор: Rolando U

12 мар. 2020 г.

The course was good, fast and simple, but it lacks a little theory to backup the practical parts.

автор: Mahnoor

25 мая 2020 г.

just fabulous and brilliantly explained

автор: 121910316019 C G S

31 окт. 2020 г.

NICE

автор: PINNAMARAJU S V

27 окт. 2020 г.

GOOD

автор: Sanchit K

11 мар. 2020 г.

This project was too long because the jupyter notebook in rhyme is not working completely. So, it takes a lot of time and it is irritating enough. If I want to print"Hello", it's printing somewhat like this "helllllllllloooooooo", therefore two question arises. First, I am not able to use the capital letters on jupyter notebook and second, multiple characters are also printing. Also, the interface of rhyme is not good enough. Also, a project explanation can include more basic stuff to provide clear fundamentals for the project.

автор: RANGANATH D M

17 мар. 2022 г.

Atleast explain the terms which you write,

автор: Russell E B

28 июня 2020 г.

Locked out even though I paid for course.

автор: EDARA B 2

27 июня 2021 г.

yes