"""
SAN.T2V.learning
~~~
Supervised - Deep Learning or Decision Trees: inputs are the given texts
and corresponding speeches. Labels for input are pre-defined cluster. Output
is MODEL predicts terms which usually occur together. Training is based on
continuity of speech files and probabilities of term clustering.
:copyright: 2017 by <NAME>.
:license: MIT, see LICENSE for more details.
"""

"""
SAN.T2V.learning
~~~
Supervised - Deep Learning or Decision Trees: inputs are the given texts
and corresponding speeches. Labels for input are pre-defined cluster. Output
is MODEL predicts terms which usually occur together. Training is based on
continuity of speech files and probabilities of term clustering.
:copyright: 2017 by <NAME>.
:license: MIT, see LICENSE for more details.
"""

SAN.T2V.learning ~~~ Supervised - Deep Learning or Decision Trees: inputs are the given texts and corresponding speeches. Labels for input are pre-defined cluster. Output is MODEL predicts terms which usually occur together. Training is based on continuity of speech files and probabilities of term clustering. :copyright: 2017 by <NAME>. :license: MIT, see LICENSE for more details.