课程信息
206,964 次近期查看

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.

完成时间大约为7 小时

建议:4 weeks of study, 4-5 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Handle real-world image data

  • Check

    Plot loss and accuracy

  • Check

    Explore strategies to prevent overfitting, including augmentation and dropout

  • Check

    Learn transfer learning and how learned features can be extracted from models

您将获得的技能

Inductive TransferAugmentationDropoutsMachine LearningTensorflow

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.

完成时间大约为7 小时

建议:4 weeks of study, 4-5 hours/week...

英语(English)

字幕:英语(English)

学习Course的学生是

  • Machine Learning Engineers
  • Data Scientists
  • Chief Technology Officers (CTOs)
  • Data Engineers
  • Scientists

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

Exploring a Larger Dataset

8 个视频 (总计 18 分钟), 5 个阅读材料, 3 个测验
8 个视频
A conversation with Andrew Ng1分钟
Training with the cats vs. dogs dataset2分钟
Working through the notebook4分钟
Fixing through cropping49
Visualizing the effect of the convolutions1分钟
Looking at accuracy and loss1分钟
Week 1 Wrap up33
5 个阅读材料
Before you Begin: TensorFlow 2.0 and this Course10分钟
The cats vs dogs dataset10分钟
Looking at the notebook10分钟
What you'll see next10分钟
What have we seen so far?10分钟
1 个练习
Week 1 Quiz30分钟
2
完成时间为 4 小时

Augmentation: A technique to avoid overfitting

7 个视频 (总计 14 分钟), 6 个阅读材料, 3 个测验
7 个视频
Introducing augmentation2分钟
Coding augmentation with ImageDataGenerator3分钟
Demonstrating overfitting in cats vs. dogs1分钟
Adding augmentation to cats vs. dogs1分钟
Exploring augmentation with horses vs. humans1分钟
Week 2 Wrap up37
6 个阅读材料
Image Augmentation10分钟
Start Coding...10分钟
Looking at the notebook10分钟
The impact of augmentation on Cats vs. Dogs10分钟
Try it for yourself!10分钟
What have we seen so far?10分钟
1 个练习
Week 2 Quiz30分钟
3
完成时间为 4 小时

Transfer Learning

7 个视频 (总计 14 分钟), 5 个阅读材料, 3 个测验
7 个视频
Understanding transfer learning: the concepts2分钟
Coding transfer learning from the inception mode1分钟
Coding your own model with transferred features2分钟
Exploring dropouts1分钟
Exploring Transfer Learning with Inception1分钟
Week 3 Wrap up36
5 个阅读材料
Start coding!10分钟
Adding your DNN10分钟
Using dropouts!10分钟
Applying Transfer Learning to Cats v Dogs10分钟
What have we seen so far?10分钟
1 个练习
Week 3 Quiz30分钟
4
完成时间为 4 小时

Multiclass Classifications

6 个视频 (总计 12 分钟), 5 个阅读材料, 3 个测验
6 个视频
Moving from binary to multi-class classification44
Explore multi-class with Rock Paper Scissors dataset2分钟
Train a classifier with Rock Paper Scissors1分钟
Test the Rock Paper Scissors classifier2分钟
A conversation with Andrew Ng1分钟
5 个阅读材料
Introducing the Rock-Paper-Scissors dataset10分钟
Check out the code!10分钟
Try testing the classifier10分钟
What have we seen so far?10分钟
Wrap up10分钟
1 个练习
Week 4 Quiz30分钟
4.7
193 个审阅Chevron Right

15%

通过此课程获得实实在在的工作福利

11%

加薪或升职

来自Convolutional Neural Networks in TensorFlow的热门评论

创建者 JMSep 12th 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.

创建者 MHMay 24th 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

讲师

Avatar

Laurence Moroney

AI Advocate
Google Brain

关于 deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

关于 TensorFlow in Practice 专项课程

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July....
TensorFlow in Practice

常见问题

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

还有其他问题吗?请访问 学生帮助中心