In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.
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課程信息
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第 6 門課程（共 6 門）
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高級
完成時間大約為16 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
可分享的證書
完成後獲得證書
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16 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
Module 1 - Loading Data
In this module, you will get introduced to the problem that we will try to solve throughout the course. You will also learn how to load the image dataset, manipulate images, and visualize them.
完成時間為 3 小時
4 個視頻 （總計 8 分鐘）
3 個練習
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Download Data10分鐘
Loading Data with Keras30分鐘
完成時間為 3 小時
Module 2
In this Module, you will mainly learn how to process image data and prepare it to build a classifier using pre-trained models.
完成時間為 3 小時
1 個視頻 （總計 2 分鐘）
2 個練習
Data loader PyTorch15分鐘
Data Preparation with Keras30分鐘
完成時間為 3 小時
Module 3
In this Module, in the PyTorch part, you will learn how to build a linear classifier. In the Keras part, you will learn how to build an image classifier using the ResNet50 pre-trained model.
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
完成時間為 7 小時
Module 4
In this Module, in the PyTorch part, you will complete a peer review assessment where you will be asked to build an image classifier using the ResNet18 pre-trained model. In the Keras part, for the peer review assessment, you will be asked to build an image classifier using the VGG16 pre-trained model and compare its performance with the model that we built in the previous Module using the ResNet50 pre-trained model.
完成時間為 7 小時
1 個視頻 （總計 3 分鐘）, 2 個閱讀材料, 2 個測驗
2 個閱讀材料
Peer Review Instruction10分鐘
Setup Watson Studio10分鐘
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來自AI CAPSTONE PROJECT WITH DEEP LEARNING 的熱門評論
由 RK 提供2020年7月30日
The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.
由 DO 提供2020年5月26日
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
由 RB 提供2020年5月22日
A very nice project based course to get hands on experience with deep learning and transfer learning.
由 SK 提供2020年5月6日
The Course is good, The labs were crashing which were causing lot of issues in completing the course
關於 IBM AI Engineering 專業證書
Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
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