Hello Gopi, mlpack uses Armadillo: http://arma.sourceforge.net/ to handel matrix types, I suggest to look at the Matrix, Vector, Cube and Field Classes section: http://arma.sourceforge.net/docs.html#part_classes.
Hopefully that is helpful, let me know if I should clarify anything. Thanks, Marcus > On 4. Mar 2020, at 19:08, Gopi Manohar Tatiraju <[email protected]> wrote: > > Hey Marcus, > > Regarding SqueezeNet, I read about the model and saw some implementation of > the model in Python using Keras. There the model is implemented using > Tensors. The input is taken as keras.engine.input_layer.Input() > <https://keras.io/layers/core/> > > I was not able to find a way to instantiate tensors in mlpack itself. Shall I > use some other library for that? Or do we need to add that functionality in > the library? > > I want to list out all the requirements for the models so that I can add any > if missing functionalities before the coding phase(GSoC) commences, so that > in summer only building models and training and testing can be done. > > Regards > Gopi M Tatiraju > > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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