apple / corenet

CoreNet: A library for training deep neural networks

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Why use interpreted language ?

AugustinMauroy opened this issue · comments

Why use interpreted language ? An interpreted language is slower and less powerful. You should use a compiled language such as c++.

For example I had work on [this project] in c++.

You should definitely stop using interpreted language.

Hi @AugustinMauroy ,

CoreNet is mainly intended for research and training, where the flexibility is an important requirement. If you have further questions about the best language for research and training, please consider asking questions on Q/A platforms, or searching for existing ones like https://ai.stackexchange.com/questions/36547/whys-and-why-nots-using-rust-for-ai.

Hi @mohammad7t thanks for your answer !

First I want to clarify I'm not asking to change something. If I want a c++ version , all I have to do is do it myself. I'm just asking why.

And also sorry for the inconvenience.

BTW, super project

No worries ! Stay curious