Fourier features in learning systems like neural networks due to the downstream invariance of the learner that becomes insensitive to certain transformations, e.g., planar translation or rotation.
BiTCN model for multivariate time series forecasting, explore its architecture, and implement it in Python.
This article explains why Convolutional Neural Networks (CNN) are useful for function identification in reverse engineering, and provides a Python implementation using PyTorch to identify the start of functions in binaries.
