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Http://speech.ee.ntu .edu.tw/~tlkagk/cour Ses/ML_2019/Lecture/ Meta2%20(v4).pdf

Meta2 v4.pdf
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🔗 Source: speech.ee.ntu.edu.tw
📊 Size: 1.82 MB
👤 Author: Hung-yi Lee
⬇️ Downloads: 136

Summary

Gradient Descent can be viewed as a Long Short-Term Memory (LSTM) network, where the learning algorithm resembles a Recurrent Neural Network (RNN) and the parameters to be learned are more than just initialization parameters, with the network structure and learning algorithm (function F) being key components, and LSTMs having cell state (c) that changes slowly and hidden state (h) that changes faster.

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Description

Gradient Descent can be viewed as a Long Short-Term Memory (LSTM) network, where the learning algorithm resembles a Recurrent Neural Network (RNN) and the...

Technical Information

  • File Format: PDF
  • File Size: 1.82 MB
  • Pages: 30
  • Language: EN
  • Author: Hung-yi Lee
  • Total Downloads: 136
  • Last Updated: 1 month ago

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