On Thu, Aug 30, 2018 at 9:41 PM Guido van Rossum <gu...@python.org> wrote:
> On Fri, Aug 31, 2018 at 3:19 AM, Michael Selik <m...@selik.org> wrote:
>
>> On Thu, Aug 30, 2018 at 5:31 PM James Lu <jam...@gmail.com> wrote:
>>
>>> It would be nice if there was a DSL for describing neural networks
>>> (Keras).
>>>
>>> model.add(Dense(units=64, activation='relu', input_dim=100))
>>> model.add(Dense(units=10, activation='softmax'))
>>>
>>>
>> Why not JSON or XML for cross-language compatibility?
>>
>
> Presumably because those are even harder to read and write for humans.
>
Guido is absolutely right (as usual) that JSON or XML would be *vastly*
harder to read than that very clean Python code.
That said, if you wanted a "DSL", the perfect choice would be YAML. The
description above could look like this:
>>> model = '''
... model:
... - layer: Dense
... units: 64
... activation: relu
... input_dim: 100
... - layer: Dense
... units: 10
... activation: softmax
... '''
>>> yaml.load(model)
{'model': [{'layer': 'Dense', 'units': 64, 'activation': 'relu',
'input_dim': 100}, {'layer': 'Dense', 'units': 10, 'activation':
'softmax'}]}
This format could easily be either a string within a Python program or an
external file with the definition. YAML is already well supported in
Python, all you'd need to do is write a little wrapper to translate the
description above into the actual Keras API calls, which would be pretty
easy.
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