ECE 595ML Lecture 18.1: Multi-Layer Perceptron

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 18.1: Multi-Layer Perceptron," https://nanohub.org/resources/32604.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 18.1: Multi-Layer Perceptron
  • Lecture 18.1: Multi-Layer Perceptron 1. Lecture 18.1: Multi-Layer Perc… 0
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  • Outline 2. Outline 105.005005005005
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  • Single-Layer Perceptron 3. Single-Layer Perceptron 162.29562896229564
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  • Multi-Layer Network 4. Multi-Layer Network 275.94260927594263
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  • Many Hidden Layers 5. Many Hidden Layers 391.52485819152486
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  • Understanding the Weights 6. Understanding the Weights 445.44544544544544
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  • Progression to DEEP (Linear) Neural Networks 7. Progression to DEEP (Linear) N… 670.7040373707041
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  • Interpreting the Hidden Layer 8. Interpreting the Hidden Layer 729.42942942942943
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  • Interpreting the Hidden Layer 9. Interpreting the Hidden Layer 843.20987654320993
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  • Two Questions about Multi-Layer Network 10. Two Questions about Multi-Laye… 883.21654988321654
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