Reference: Wavelet Neural Networks - David Veitich
This task is broken into two parts.
- Implement
WaveletNetwork class based on pseudo code outlined in sections 3.2.1.1 and 3.3.1
- Implement
WaveNet class based on sections
For both parts use the Wavelet[I] API to represent Wavelon object instances for multivariate inputs, which have parameters that can be calculated using the GradientDescent class. Implement WaveletGradient and WaveletUpdater classes by extending Gradient and Updater.
Reference: Wavelet Neural Networks - David Veitich
This task is broken into two parts.
WaveletNetworkclass based on pseudo code outlined in sections 3.2.1.1 and 3.3.1WaveNetclass based on sectionsFor both parts use the
Wavelet[I]API to represent Wavelon object instances for multivariate inputs, which have parameters that can be calculated using theGradientDescentclass. ImplementWaveletGradientandWaveletUpdaterclasses by extendingGradientandUpdater.