Essays about: "Localizing Representations"

Found 2 essays containing the words Localizing Representations.

1. 1. Temporal Localization of Representations in Recurrent Neural Networks

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Asadullah Najam; [2023]
   Keywords : Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

   Abstract : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. READ MORE

3. 2. On the statistics and practical application of the reassignment method for Gabor spectrograms

   University essay from Lunds universitet/Matematisk statistik

   Author : Erik. M Månsson; [2019]
   Keywords : Mathematics and Statistics;

   Abstract : The reassignment method is a technique for improving the concentration of signals in spectrograms and other time-frequency representations (TFR). It achieves this by displacing the points in a TFR according to the reassignment vector for every point. READ MORE