Chevron Left
返回到 Basic Image Classification with TensorFlow

学生对 Coursera Project Network 提供的 Basic Image Classification with TensorFlow 的评价和反馈

4.6
682 个评分
101 条评论

课程概述

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....

热门审阅

AS
May 28, 2020

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
Jun 26, 2021

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.

筛选依据:

76 - Basic Image Classification with TensorFlow 的 100 个评论(共 100 个)

创建者 Rutuja K

Jun 17, 2020

Great Course for beginners!!

创建者 Raghuraj M

Jul 6, 2020

its a good beginner project

创建者 Manish K T

Jun 25, 2020

brilliant to have hands on

创建者 Jesús F S C

Jul 27, 2020

excelente for practice.

创建者 onyinyechi s

Aug 2, 2020

Really insightful!!

创建者 Rohit S D

Jun 14, 2020

Its nice Experience

创建者 kavi

Jun 25, 2020

It's Good.

创建者 221910309033 N S

Nov 30, 2020

good

创建者 N C R

Nov 29, 2020

nice

创建者 Sri h

Nov 29, 2020

good

创建者 Yasaswini D

Oct 31, 2020

cool

创建者 Priyanka S

Jun 2, 2020

Nice

创建者 Dharmik V

May 12, 2020

Good

创建者 Anant C

Jun 6, 2020

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.

创建者 NG, S L

Feb 14, 2021

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.

创建者 Konstantinos O

May 21, 2021

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

创建者 Panchal R J

Jun 25, 2020

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

创建者 Hristo I

Mar 23, 2020

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

创建者 Rolando U

Mar 12, 2020

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

创建者 Mahnoor

May 25, 2020

just fabulous and brilliantly explained

创建者 121910316019 C G S

Oct 31, 2020

NICE

创建者 PINNAMARAJU S V

Oct 27, 2020

GOOD

创建者 011 S K

Mar 11, 2020

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.

创建者 Russell E B

Jun 28, 2020

Locked out even though I paid for course.

创建者 EDARA B 2

Jun 27, 2021

yes