As a deep learning novice user, when I am prototyping, I want to be able to easily run a network so that I can try different configurations without having to define an Experiment.
The Deep Learning with Python book encourages you to try different network configurations while learning Keras. After describing each neural network, it encourages trying out different things, e.g.
Try using larger or smaller layers: 32 units, 128 units, and so on.
You used two hidden layers. Now try using a single hidden layer, or three hid-
It would be good if users could easily try out things like this without having to deploy the training definition and create an Experiment.
The current editor assumes you will not be iterating your design much when creating a network.
Why is it useful?
|Who would benefit from this IDEA?||novice deep learning engineer|
How should it work?
|Submitting Organization||F2F Sales|