Wavelet denoising of spectra
Neural Networks, Regression 01/12/2023
On the concept of wavelet transform and decomposition, and its application for denoising of spectra.
Category: Neural Networks
Understanding neural network parameters with TensorFlow in Python: the optimiser
Neural Networks, Regression 11/20/2022
An introductory tutorial on optimisers for deep learning, including Python code for a regression training for NIR spectroscopy.
Understanding neural network parameters with TensorFlow in Python: the activation function
Neural Networks, Regression 04/09/2022
Where we discuss the meaning of an activation function in neural networks, discuss a few examples, and show a comparison of neural network training with different activation functions.
Deep neural networks for spectral data regression with TensorFlow
Neural Networks, Regression 03/12/2022
This post introduces basic Python code to build fully-connected deep neural networks with TensorFlow for regression analysis of spectral data.
