[Scilab-Dev] Machine Learning Toolbox

[Tan Chin Luh]

Hi,

Just to share a little bit of my experience in this field, which I think 
it is definitely possible to move further to more advance networks 
despite some negative feedback.

Firstly, while working on the neural network module 
(https://atoms.scilab.org/toolboxes/neuralnetwork/2.0), all the codes 
are done in Scilab, with vectorized codes for batch learning to increase 
the speed. However, the trade off is that the training could not handle 
large data set especially for the LM algorithm. This could be improved 
by using the online training with slower speed but less memory usage.

While exploring module like SVM, fuzzy (not ML perhaps? AI?), both 
modules using dll from third parties and seamlessly integrated into 
Scilab. In which both module performs well with my "not so big" datasets.

Moving towards deeper network, I just used the dnn importer from OPENCV 
3.2 to import the caffe model and try to classify the image. The next 
bottle neck is whether to put the loaded model into the shared library 
which could be referred by Scilab later with pointer, or to import the 
model into Scilab list which could be then read by the gateway when needed.

Thanks.

regards,
Chin Luh