The deep learning "revolution" corresponded with an exponential growth in the time/effort/money being thrown at these problems and the amount of data available to do so.
In an alternate universe, could everyone be going crazy about kernel machines?
GPU's are definitely a big part of why this stuff has improved, as you can train much, much faster on larger datasets which is going to improve performance.
NN's are super flexible though, and I'm not sure you'd have gotten the same level of performance out of other methods.
The deep learning "revolution" corresponded with an exponential growth in the time/effort/money being thrown at these problems and the amount of data available to do so.
In an alternate universe, could everyone be going crazy about kernel machines?