课程信息
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第 3 门课程(共 6 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

完成时间大约为10 小时

建议:2 - 3 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
学习Professional Certificate的学生是
  • Data Scientists
  • Machine Learning Engineers
  • Research Assistants
  • Researchers
  • Software Engineers

第 3 门课程(共 6 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

完成时间大约为10 小时

建议:2 - 3 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Introduction to Neural Networks and Deep Learning

4 个视频 (总计 17 分钟), 1 个阅读材料, 2 个测验
4 个视频
Welcome2分钟
Introduction to Deep Learning4分钟
Neurons and Neural Networks3分钟
Artificial Neural Networks5分钟
1 个阅读材料
Syllabus10分钟
1 个练习
Introduction to Neural Networks and Deep Learning30分钟
2
完成时间为 1 小时

Artificial Neural Networks

4 个视频 (总计 22 分钟), 1 个测验
4 个视频
Backpropagation9分钟
Vanishing Gradient1分钟
Activation Functions5分钟
1 个练习
Artificial Neural Networks30分钟
3
完成时间为 3 小时

Keras and Deep Learning Libraries

3 个视频 (总计 16 分钟), 3 个测验
3 个视频
Regression Models with Keras6分钟
Classification Models with Keras5分钟
1 个练习
Keras and Deep Learning Libraries30分钟
4
完成时间为 2 小时

Deep Learning Models

4 个视频 (总计 17 分钟), 2 个测验
4 个视频
Convolutional Neural Networks8分钟
Recurrent Neural Networks2分钟
Autoencoders2分钟
1 个练习
Deep Learning Models30分钟
4.6
16 个审阅Chevron Right

来自Introduction to Deep Learning & Neural Networks with Keras的热门评论

创建者 LDSep 8th 2019

The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.

创建者 GKOct 3rd 2019

Very intractive and benificial course for me .Thank you coursera and IBM for this course

讲师

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Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

关于 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

关于 IBM AI Engineering 专业证书

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

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