ECE 595ML Lecture 8.3: Hand-Crafted and Deep Features - Deep Features

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 8.3: Hand-Crafted and Deep Features - Deep Features," https://nanohub.org/resources/32439.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 8.3: Hand-Crafted and Deep Features - Deep Features
  • Lecture 8.3: Deep Features 1. Lecture 8.3: Deep Features 0
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  • Outline 2. Outline 7.4074074074074074
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  • Deep Features 3. Deep Features 15.015015015015015
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  • Deep Features 4. Deep Features 168.53520186853521
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  • Hierarchical Representations 5. Hierarchical Representations 207.24057390724059
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  • Deep Features 6. Deep Features 398.46513179846517
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  • Hierarchical Representations 7. Hierarchical Representations 448.71538204871541
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  • Combining Features 8. Combining Features 522.42242242242241
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  • Using Deep Features for kNN 9. Using Deep Features for kNN 695.66232899566239
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  • Using Deep Features for Super-Resolution 10. Using Deep Features for Super-… 753.31998665332
    00:00/00:00
  • Reading List 11. Reading List 835.90256923590255
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