[✓ Learning with Recurrent Neural Networks || ↠ PDF Download by ✓ Barbara Hammer] #2020


  • Title: Learning with Recurrent Neural Networks
  • Author: Barbara Hammer
  • ISBN: 9781852333430
  • Page: 238
  • Format: Paperback

  • Learning with Recurrent Neural Networks By Barbara Hammer Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example The architecture, the training mechanism, and several applications in different areas are explained Afterwards a theoretical foundation, proving that the approach is appropriate as a learnFolding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example The architecture, the training mechanism, and several applications in different areas are explained Afterwards a theoretical foundation, proving that the approach is appropriate as a learning mechanism in principle, is presented Their universal approximation ability is investigated including several new results for standard recurrent neural networks such as explicit bounds on the required number of neurons and the super Turing capability of sigmoidal recurrent networks The information theoretical learnability is examined including several contribution to distribution dependent learnability, an answer to an open question posed by Vidyasagar, and a generalisation of the recent luckiness framework to function classes Finally, the complexity of training is considered including new results on the loading problem for standard feedforward networks with an arbitrary multilayered architecture, a correlated number of neurons and training set size, a varying number of hidden neurons but fixed input dimension, or the sigmoidal activation function, respectively.
    Barbara Hammer
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    Learning with Recurrent Neural Networks By Barbara Hammer

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    • [✓ Learning with Recurrent Neural Networks || ↠ PDF Download by ✓ Barbara Hammer]
      238 Barbara Hammer
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      Published :2020-04-11T04:35:30+00:00