Category: Neural Networks
On the concept of wavelet transform and decomposition, and its application for denoising of spectra.
An introductory tutorial on optimisers for deep learning, including Python code for a regression training for NIR spectroscopy.
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.
This post introduces basic Python code to build fully-connected deep neural networks with TensorFlow for regression analysis of spectral data.