Trained Depthwise mobilenet, but size is h5 file is 24 MB, need to reduce the h5 file size.

[vasanthhr]

Hello Team,

I trained Depthwise Mobilenet and got h5 file of size around 24 MB. I converted this h5 file to tensorflow_js supported file format(JSON), and used technique of quantization and finally able to reduce JSON file size to 2.1 MB.

Is there any way I can reduce the h5 files size to some more extent? ( I think i need to remove some layers in architecture level before training, Does it help in reduce file size?).

Please guide me If I need to remove any layers in mobilenet.py or Do I need to make any modifications in configuration in the same file.

(Goal: I need to take JSON file and run it on browser, so need to reduce file size as much as possible),

[taehoonlee]

@vasanthhr, Currently the tasks of quantization and compression are out of scope in keras-applications. But if you suggest seamless APIs such as TensorRT supports, we are always welcome. And, the manual removal of some layers doesn't look good to me. It is not generalizable.