# Overview¶

The Quantum Machine Learning Toolbox consists of the two CircuitLearner classes for automatic and numerical differentation. These classes can be used for optimization, supervised and unsupervised learning with variational circuits.

## Software components¶

Frontend:

Numerical backend:

TF backend:

## Code details¶

qmlt module

qmlt.version()[source]

Get version number of the QMLT.

Returns: The package version number str