SleekEagle

18 ms·

181.
by SleekEagle 5y ago
Both frameworks have matured a lot and I think we're coming up on some really awesome applications in the coming years. The tools around them which make it easier to apply DL everywhere are really the bottleneck at this point!
182.
by SleekEagle 5y ago
Got it. Awesome, thanks for the info I'll check them both out this week
183.
by SleekEagle 5y ago
Yeah, it's pretty funny how reluctantly some people use TF because they have too, lol. The fact that PyTorch is pythonic and easier to debug makes it better for a ton of users, but TensorFlow keeps the entire DL process in mind more,
184.
by SleekEagle 5y ago
They actually made ml5.js for this reason, not sure if you've seen it https://ml5js.org/ Pretty cool imo
185.
by SleekEagle 5y ago
Yeah they made ml5.js for this reason: https://ml5js.org/ I do feel like Google could do better communicating all of their different tools though. Their ecosystem is large and pretty confusing - they've got so many pro
186.
by SleekEagle 5y ago
Yeah, TensorFlow's API has definitely gotten convoluted and confusing. I think the shift from TF1 to TF2 and then later wrapping Keras in TF just caused a lot of problems. TensorFlow seems to be spreading itself pretty thin. Maintainin
187.
by SleekEagle 5y ago
Totally agree on the debugging. The fact that PyTorch is more pythonic and easier to debug makes it the better choice for a lot of applications. Are you in research? I think TensorFlow's position in industry puts it in a kind of too-bi
188.
by SleekEagle 5y ago
Have you checked out TensorFlow.js? May be what you're looking for...
189.
by SleekEagle 5y ago
Yeah, since the release of TF2 in 2019 they're a lot more similar. PT is still more pythonic and easier to debug, but TF has a way better industry infrastructure. The documentation is comically similar though! lol Have you checked out
190.
by SleekEagle 5y ago
Would you mind commenting on Haiku vs Flax? I'm partial to Haiku because I'm a fan of Sonnet/DeepMind, but I've not looked into Flax much!
191.
by SleekEagle 5y ago
Interesting - I didn't realize that it was that important for computational physics. Very cool, I'll have to read up!
192.
by SleekEagle 5y ago
So cool! I'm a bit surprised they took the time to put it together, but I'm definitely not complaining! LOL
193.
by SleekEagle 5y ago
Totally agree! Always a cost/benefit analysis to consider, so it's nice to hear that it was worth it for someone who made the jump.
194.
by SleekEagle 5y ago
Agreed - JAX is really cool. It will be interesting to see how TF & JAX develop considering they're both made by Google. I also think JAX has the potential to be the fastest, although right now it's neck-and-neck with PyTorch.
195.
by SleekEagle 5y ago
Do you think it's a bit easier to build custom layers in PyTorch though? Also, I think Lightning handles the issue of loading optimizers, but I'm not sure about that. It's nice to see TF get some love, but I still think PyTor
196.
by SleekEagle 5y ago
Wow that's a really cool resource. Thanks for linking! Even still, do you think researchers will want to take the time to learn all of that when PyTorch gives them no real reason to switch? Every day spent learning JAX is another day s
197.
by SleekEagle 5y ago
JAX is really exciting! JAX is mentioned in the Research subsection of the "Which should I pick" section. Do you think that the fundamental under-the-hood differences of JAX compared to TensorFlow and PyTorch will affect its adopt
198.
by SleekEagle 5y ago
I totally agree! I think their technical differences are superseded by other practical considerations at this point. It's interesting to see how the landscape for which is better given a use case is changing though - PyTorch has made a
199.
PyTorch vs. TensorFlow in 2022(assemblyai.com)
350 points by SleekEagle 5y ago|118 comments
200.
by SleekEagle 5y ago
Looks really informative and polished!
201.
by SleekEagle 5y ago
Of course they don't want to be in such a position because it costs them money. Similarly, it costs e.g Dupont money to be responsibly disposing of chemicals, but we're comfortable requiring them to do it or else face being shut d
202.
by SleekEagle 5y ago
I don't think censorship is necessary given that it isn't the only way to address the problem of misinformation. For example, providing metrics on how trustworthy a source is by reasonable metrics isn't censorship, but provid
203.
by SleekEagle 5y ago
The legislative system has always taken a long time to catch up to new technological innovations. It's certainly a problem that technology advances so rapidly now and the time scale of legislative action can't keep pace, especiall
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by SleekEagle 5y ago
Well said. I wonder how long it will take legislation to catch up to the unregulated information highways that dominate so much of our national and global thought and perceptions!
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by SleekEagle 5y ago
Really great article. Something that's so unique about tech-related industries is that you can ALWAYS be improving your product and releasing new features, the only barrier being time and effort, so it can be hard to pull yourself to f
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PyTorch Lightning for Dummies – A Tutorial and Overview(assemblyai.com)
34 points by SleekEagle 5y ago|0 comments