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
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