3. Generate C code using neural networks which were trained using the specified deep learning backend. The generator receives the following command line parameters:
3. Generate C code which uses neural networks that were trained using the specified deep learning backend. The generator receives the following command line parameters:
*`-m` path to directory with EMADL models
*`-r` name of the root model
*`-o` output path
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@@ -83,5 +83,3 @@ configuration VGG16{
Assuming both the architecture definition `VGG16.emadl` and the corresponding training configuration `VGG16.cnnt` are located in a folder `models` and the target code should be generated in a `target` folder using the `MXNet` backend, an example of a command is then: