Feedforward neural network - PowerPoint PPT Presentation

Recurrent Neural Networks &amp; LSTM

Recurrent Neural Networks &amp; LSTM. Advisor: S. J. Wang, F. T. Chien Student: M. C. Sun 20150226. Outline. Neural Network Recurrent Neural Network (RNN) Introduction Training Long Short-Term Memory (LSTM) Evolution Architecture Connectionist Temporal Classification (CTC) Application

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The Use of NN in Classification

The Use of NN in Classification. Architecture. Training. Three layers Feedforward Neural Network (FFNN) is sufficient for realizing a broad class of input/output non-linear maps (Kolmogorov’s theorem) Disadvantages: number of neurons in the hidden layer cannot be determined

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Feedforward neural network - PowerPoint PPT Presentation

Recurrent Neural Networks &amp;amp; LSTM

The Use of NN in Classification

Recurrent Neural Networks & LSTM