Really, the "input" to current deep learning algorithms includes all the training data. Which is where the root of the issue is. There's a reason why compressi

Really, the "input" to current deep learning algorithms includes all the training data. Which is where the root of the issue is. There's a reason why compression comparisons tend to include the size of the decompressor in their comparisons - my "magic algorithm can compress wikipedia down to a single bye!" is less impressive with the "decompressor" contains a copy of wikipedia.