Generate Keras models from a description.https://twitter.com/mattshumer_/status/1287125015528341506 …
0:32
-
Good attempt. However this model would blow up immediately as it has neither strided convolutions, nor strided pooling. Also not deep enough for 500x500. With proper striding, it would work quite well on fashion MNIST.
I have no doubt that building common models from a description can be automated, but I can't help but think it would be more effective to have a structured intermediate representation, and:
-
-
1. Use a supervised text model to go from description to structured representation, trained on a specialized dataset 2. Use a hard coded algorithm to generate Keras code from the structured representation (ensures code reliability)
-
Also, the right input for autoML is not a model description, but a task description and a dataset That said, this app demonstrates the power of GPT-3 for quick prototyping!
- Show replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.