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I think we should start simple with a small space like MNIST. So imagine something like 28*28 and a total of 784 input units, but topological.
Each location in this space:
has a unique location representation
may have a feature
We can put off specifying the feature type etc. until processing time.
If we do it this way, we can also use MNIST as a test set for object classification when we are ready, and we'll have the flexibility to decide what "features" are within each experiment.
The text was updated successfully, but these errors were encountered:
I think we should start simple with a small space like MNIST. So imagine something like 28*28 and a total of 784 input units, but topological.
Each location in this space:
We can put off specifying the feature type etc. until processing time.
If we do it this way, we can also use MNIST as a test set for object classification when we are ready, and we'll have the flexibility to decide what "features" are within each experiment.
The text was updated successfully, but these errors were encountered: