课程信息

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第 6 门课程(共 6 门)
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高级
完成时间大约为16 小时
英语(English)
字幕:英语(English)
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 6 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。
高级
完成时间大约为16 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 3 小时

Module 1 - Loading Data

完成时间为 3 小时
4 个视频 (总计 8 分钟)
4 个视频
Choose One Library Only (PyTorch or Keras)41
1.0 Loading data.1分钟
Keras Stream3分钟
3 个练习
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Download Data10分钟
Loading Data with Keras30分钟
2

2

完成时间为 3 小时

Module 2

完成时间为 3 小时
1 个视频 (总计 2 分钟)
1 个视频
2 个练习
Data loader PyTorch15分钟
Data Preparation with Keras30分钟
3

3

完成时间为 3 小时

Module 3

完成时间为 3 小时
1 个视频 (总计 2 分钟)
1 个视频
2 个练习
Linear Classifier PyTorch10分钟
Building a Classifier with Pre-Trained Models30分钟
4

4

完成时间为 7 小时

Module 4

完成时间为 7 小时
1 个视频 (总计 3 分钟), 1 个阅读材料, 2 个测验
1 个阅读材料
Peer Review Instruction10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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