Commit f253f64f authored by Christopher Jan-Steffen Brix's avatar Christopher Jan-Steffen Brix
Browse files

Improved readme

parent d17850c2
......@@ -73,7 +73,7 @@ configuration VGG16{
}
}
```
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
......@@ -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:
```java -jar embedded-montiarc-emadl-generator-0.2.4-SNAPSHOT-jar-with-dependencies.jar -m models -r VGG16 -o target -b MXNET```
You can find the EMADL2CPP jar [here](doc/embedded-montiarc-emadl-generator-0.2.4-SNAPSHOT-jar-with-dependencies.jar)
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