5,321
edits
Deep Learning: Difference between revisions
→Theorem
| Line 428: | Line 428: | ||
===Theorem=== | ===Theorem=== | ||
There exists a two-layer NN with Relu activations and <math>2n+d</math> parameters that can represent any function on a sample size <math>n</math> in d dimensions. | There exists a two-layer NN with Relu activations and <math>2n+d</math> parameters that can represent any function on a sample size <math>n</math> in d dimensions. | ||
===Lecture 9 (Sept 17)=== | |||
==Misc== | ==Misc== | ||