Category: Neural Networks

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.