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.

Basic Image Classification with TensorFlow

位教师:Amit Yadav
访问权限由 New York State Department of Labor 提供
27,988 人已注册
您将学到什么
Create, train and evaluate a neural network in TensorFlow
Understand the basics of neural networks
Solve classification problems with neural networks
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要了解的详细信息

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了解顶级公司的员工如何掌握热门技能

在 2 小时内学习、练习并应用岗位必备技能
- 接受行业专家的培训
- 获得解决实训工作任务的实践经验
- 使用最新的工具和技术来建立信心

关于此指导项目
分步进行学习
在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:
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Encode the labels
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Understand neural networks
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Preprocess image examples
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Create a neural network model
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Train the model to fit the dataset
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Evaluate the model
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Visualize the predictions
推荐体验
Some experience in Python programming is recommended
7个项目图片
位教师

提供方
学习方式
基于技能的实践学习
通过完成与工作相关的任务来练习新技能。
专家指导
使用独特的并排界面,按照预先录制的专家视频操作。
无需下载或安装
在预配置的云工作空间中访问所需的工具和资源。
仅在台式计算机上可用
此指导项目专为具有可靠互联网连接的笔记本电脑或台式计算机而设计,而不是移动设备。
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- 5 stars
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- 3 stars
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已于 Apr 12, 2020审阅
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
已于 Jun 8, 2020审阅
really informative & simple explanations. Increases your confidence in applying the techniques.
已于 Jun 3, 2020审阅
Really nice project,But instructions are not properly because u not said how to install jupyter notebook and tensorflow.This are the basic instructions.Thank u...






