課程信息

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立即開始,按照自己的計劃學習。

第 6 門課程(共 6 門)

可靈活調整截止日期

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高級

完成時間大約為11 小時

建議:21 hours/week...

英語(English)

字幕:英語(English)

100% 在線

立即開始,按照自己的計劃學習。

第 6 門課程(共 6 門)

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為11 小時

建議:21 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 3 小時

Module 1 - Loading Data

完成時間為 3 小時
4 個視頻 (總計 8 分鐘)
4 個視頻
Choose One Library Only (PyTorch or Keras)41
1.0 Loading data.1分鐘
Keras Stream3分鐘
3 個練習
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Download Data10分鐘
Loading Data with Keras30分鐘
2

2

完成時間為 3 小時

Module 2

完成時間為 3 小時
1 個視頻 (總計 2 分鐘)
1 個視頻
2 個練習
Data loader PyTorch15分鐘
Data Preparation with Keras30分鐘
3

3

完成時間為 3 小時

Module 3

完成時間為 3 小時
1 個視頻 (總計 2 分鐘)
1 個視頻
2 個練習
Linear Classifier PyTorch10分鐘
Building a Classifier with Pre-Trained Models30分鐘
4

4

完成時間為 7 小時

Module 4

完成時間為 7 小時
1 個視頻 (總計 3 分鐘), 1 個閱讀材料, 2 個測驗
1 個閱讀材料
Peer Review Instruction10分鐘

審閱

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關於 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....

關於 IBM AI Engineering 專業證書

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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