tom_wilde

7 ms·

1.
by tom_wilde 1y ago
Sceptical. Performs really well on 1000 docs. Let’s see it for real..! No model supplied. https://github.com/herniqeu/extract0 To quote Mulder: I want to believe.
2.
by tom_wilde 2y ago
Well that was a fascinating diversion. This is bonkers! https://norsam.com/products/buddhist-nano-film/
3.
by tom_wilde 2y ago
What beats M-Disc? Genuinely curious just having bought one.
4.
by tom_wilde 2y ago
For anyone else wondering what CIA is: https://www.techtarget.com/whatis/definition/Confidentiality...
5.
by tom_wilde 5y ago
I recently took on a new, super complex project and can attest to Obsidian beyond useful. I’ve put all notes and info into it, everything.. and it’s really paid off. I now see this process rather like unit testing whereby the structure of t
6.
by tom_wilde 5y ago
Can concur. This works for me when faced with some tricky code.
7.
by tom_wilde 6y ago
Same. :|
8.
by tom_wilde 7y ago
Reduce / Recycle / Reuse Tell me which of those is going to make the situation worse?
9.
by tom_wilde 7y ago
Well.. for both your points here there are no guarantees. Progress isn't linear and just because we can adapt doesn't mean we will. What is known is that our entire eco-system is failing to adapt fast enough to keep up with the ra
10.
by tom_wilde 7y ago
What about their children and their children's children and ... (you get the idea) It s a bit myopic no?
11.
by tom_wilde 8y ago
Link to Uber Engineering page on this: https://eng.uber.com/go-explore/ From the linked page: To enable the community to benefit from Go-Explore and help investigate its potential, source code and a full paper describi
12.
by tom_wilde 8y ago
You haven't met Serena yet then...
13.
by tom_wilde 9y ago
Yes, see: https://www.coursera.org/learn/machine-learning It starts out reaaaally basic but give a thorough grounding of the maths and the intuition behind it.
14.
by tom_wilde 9y ago
Coursera - Andrew NG's course => Classic starting point, very thorough and digestable introduction to Neural Networks. I found he covered the 'how the heck do I use this?' rather well.. :) From there, Coursera has a pai
15.
by tom_wilde 9y ago
www.nengo.ai wow, this is really cool! thx for sharing :]
16.
by tom_wilde 9y ago
Sounds interesting, any papers that I/we should read..?
17.
by tom_wilde 9y ago
'rollouts' ELI5? I didnt pick this up from the paper.. thx :)
18.
by tom_wilde 9y ago
+1 See it in 70mm if you can. :>
19.
by tom_wilde 9y ago
oO that's so awesome!
20.
by tom_wilde 9y ago
+1 !
21.
by tom_wilde 9y ago
The only winning move is not to play.
22.
by tom_wilde 9y ago
Shout out to the author, I'm enjoying this content thankyou!
23.
by tom_wilde 10y ago
How does the engine know the direction the converge will take? I'm missing something here.. :?
24.
by tom_wilde 10y ago
~7000 elements per compound eye according to this page: https://www.google.co.uk/amp/s/brookfieldfarmhoney.wordpress...
25.
by tom_wilde 10y ago
I strongly recommend running as a burnout cure...
26.
by tom_wilde 10y ago
If you're getting started I totally recommend Andrew NGs course...
27.
by tom_wilde 10y ago
Nice discussion, but where's the example src code?
28.
by tom_wilde 10y ago
This may help someone out there. I had chronic tennis elbow for years, tried a huge array of options to fix it and failed... until: I found a _vertical_ mouse. Turns out it was a micro-injury thing...
29.
by tom_wilde 10y ago
GFX HEAVY
30.
by tom_wilde 10y ago
did you apply Deep Learning / ML techniques here? ;)

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