Scilab is a powerful scientific computing language that is popularly used for
research and
simulations. But it lacks libraries that can be used to develop artificial
intelligence tech, and
hence not many publications about AI have preferred to use Scilab for their
experiments. There
exist some toolboxes for scilab that can be used to develop AI programs.
However, usage of
these toolboxes is quite complicated, and mandate that the user have extensive
knowledge
about AI and its internal working. This might be okay for advanced users, but
for people with
little to no knowledge about AI, this problem can create a knowledge gap and bar
said users
from getting their hands on powerful AI algorithms and processes. The Keras
Toolbox
addresses this issue, and thus enables the user to apply AI to their problem
without having
much in-depth knowledge about it. The toolbox is designed in such a way that the
user only has
to supply the data, and the AI will configure and train itself automatically.
This will be a huge
help to researchers who aren’t from the programming domain but still want to
apply AI to their
problem.
