Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences.
Taiga IshiiRyo UedaYusuke MiyaoPublished in: CoRR (2023)
Keyphrases
- empirical analysis
- recurrent neural networks
- discrete fourier transform
- inductive bias
- fourier transform
- empirical studies
- frequency domain
- theoretical analysis
- inductive learning
- neural network
- feed forward
- echo state networks
- artificial neural networks
- machine learning
- pac learning
- multitask learning
- hypothesis space
- prior knowledge
- radon transform
- discrete cosine transform
- domain knowledge
- supervised learning
- model selection
- domain theory
- training examples
- pattern recognition
- image processing
- hough transform
- computer vision
- learning algorithm
- small number
- genetic algorithm