课程信息

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第 3 门课程(共 6 门)
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中级
完成时间大约为9 小时
英语(English)
字幕:英语(English)

您将获得的技能

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 6 门)
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9 小时
英语(English)
字幕:英语(English)

提供方

IBM 徽标

IBM

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 2 小时

Introduction to Neural Networks and Deep Learning

完成时间为 2 小时
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

2

完成时间为 1 小时

Artificial Neural Networks

完成时间为 1 小时
4 个视频 (总计 22 分钟)
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

3

完成时间为 3 小时

Keras and Deep Learning Libraries

完成时间为 3 小时
3 个视频 (总计 16 分钟)
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

4

完成时间为 2 小时

Deep Learning Models

完成时间为 2 小时
4 个视频 (总计 17 分钟)
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

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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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