3 ms·

Glad to see Deep Learning "coming down to earth". This is the first high profile post I've seen that spells out exactly how DL models will become reconfigurabl

Glad to see Deep Learning "coming down to earth". This is the first high profile post I've seen that spells out exactly how DL models will become reconfigurable, purpose-built tools, and what a workflow might look like. We're still a long way aways from treating them like software components.

Cacti 9y ago
I mean, these are topics that have been discussed countless times over the years and in some cases decades. It's all well and good to say we need generalizable machines, and something other than backprop, and something closer to traditional programs, but we all know this. The issue is that no one knows what this would even mean, never mind how one would go about implementing it. In the few cases we do know how, the results are horrible compared to the methods we already use. We use the methods we do today because they work, not because we think they are the best, or because we don't understand the limitations of our models.
- jdonaldson 9y ago
  True, there's been discussions, but from what I've seen it's mostly flag planting or vague pop-eng fodder that project directors dish out to tech journalists. Having Keras make a statement on this carries far more weight, because fchollet is not selling a product, or pushing an agenda, or creating a walled garden of some sort. The only thing that's a bit off about Keras is that it's mostly the efforts of one guy. Sure, there's many other contributors, but they don't seem to be acknowledged. I've never seen anyone else speak for the project. I'd really like to see a neutral party emerge for deep learning practice and tooling, before the whole industry gets sucked into a single dominant ecosystem like AWS.
  - droidist2 9y ago
    Do you think with Google's adoption of Keras for TensorFlow it'll get more resources dedicated to it?

3 ms·

Glad to see Deep Learning "coming down to earth". This is the first high profile post I've seen that spells out exactly how DL models will become reconfigurabl

by jdonaldson 9y ago

Cacti 9y ago
I mean, these are topics that have been discussed countless times over the years and in some cases decades. It's all well and good to say we need generalizable machines, and something other than backprop, and something closer to traditional programs, but we all know this. The issue is that no one knows what this would even mean, never mind how one would go about implementing it. In the few cases we do know how, the results are horrible compared to the methods we already use. We use the methods we do today because they work, not because we think they are the best, or because we don't understand the limitations of our models.
- jdonaldson 9y ago
  True, there's been discussions, but from what I've seen it's mostly flag planting or vague pop-eng fodder that project directors dish out to tech journalists. Having Keras make a statement on this carries far more weight, because fchollet is not selling a product, or pushing an agenda, or creating a walled garden of some sort. The only thing that's a bit off about Keras is that it's mostly the efforts of one guy. Sure, there's many other contributors, but they don't seem to be acknowledged. I've never seen anyone else speak for the project. I'd really like to see a neutral party emerge for deep learning practice and tooling, before the whole industry gets sucked into a single dominant ecosystem like AWS.
  - droidist2 9y ago
    Do you think with Google's adoption of Keras for TensorFlow it'll get more resources dedicated to it?