Understanding Neural Networks

Tony Yiu explore how Neural Networks function in order to build an Intuitive Understanding of Deep Learning.

An aplication of ANN in Near Infrared (Protein in wheat with Infratec)

This paper shows how the ANN algorithms can be applied to NIR technology:

Artificial Neural Networks and Near Infrared Spectroscopy - A case study on protein content in whole wheat grain

The authors explain why the IFT calibrations are so robust for wheat. This is a case where more than 40000 samples are used with all the variability we can imagine for this type of product.

You can see the videos:

How Deep Neural Networks work?
What do Neural Networks learn?

for a better understanding of how ANN works.

How Deep Neural Networks Work

This is another video from Brandon Rohrer. I add another one two posts ago called "What do Neural Networks learn?  ". I add to these posts the tag "Artificial Neural Networks" to come back to see them whenever needed.

ANN are becoming quite popular and there is more a more interest to see how they work and how to apply them to the NIR spectra.

Meanwhile we try to understand as much as possible what can be considered as a black box. Thanks to Bandon for these great tutorial videos.

See an application of NIR technology in:
An application of ANN in Near Infrared (Protein in wheat with Infratec)
 

What do neural networks learn?

See an application of NIR technology in:
An application of ANN in Near Infrared (Protein in wheat with Infratec)