Chevron Left
返回到 Basic Image Classification with TensorFlow

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

4.6
星
847 个评分

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

GH

Apr 12, 2020

I very happy the way course is designed , since i am beginner , need more hands on and after the course also , if Rhyme is accessible then it would be great help

AA

Jun 8, 2020

really informative & simple explanations. Increases your confidence in applying the techniques.

筛选依据：

126 - Basic Image Classification with TensorFlow 的 130 个评论（共 130 个）

创建者 PINNAMARAJU S V

•

Oct 27, 2020

GOOD

创建者 Sanchit K

•

Mar 10, 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 RANGANATH D

•

Mar 17, 2022

Atleast explain the terms which you write,

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