Machine Learning is a method of data analysis that automates analytical model building using different approaches.
Artificial Neural Network (ANN)
which is a type of machine learning algorithm or an information processing model consisting of elements, called artificial neurons,
which are interconnected into several layers (one input layer, one or more hidden layers, and one output layer). The complex relationships between inputs and outputs are modeled during the training process
using a large set of reference (experimental or theoretical) data. When trained properly, the ANN can fast generate the result based on the input data.
In our laboratory, we develop the ANNs methodology to perform the analysis of Xray absorption data.
USEFUL LINKS
Artificial Neural Network (ANN) (Wikipedia).
Neural Networks and Deep Learning  a free online book
TensorFlow  an open source machine learning library for research and production.
Caffe  a deep learning framework made with expression, speed, and modularity in mind.
MXNet  a scalable deep learning framework.
FANN  Fast Artificial Neural Network Library.
MLatom  a package for atomistic simulations with machine learning.
QuantumMachine.org.
