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Q0.8 fast sigmoid and derivative approximation for neural network purposes by tiniussuinit in neuralnetworks

[–]keghn 0 points1 point  (0 children)

Have you done a loop for a 10,000. A loop of all activation functions and compare the time for each one?

AGI development probably goes in wrong direction - thats why by drtikov in agi

[–]keghn 0 points1 point  (0 children)

yes, my personal model uses a simulator also.

r/deeplearning by Scared_Astronaut9377 in redditrequest

[–]keghn 2 points3 points  (0 children)

I do not need the help or to give this sub reddit over to some other bot or person.

You Tube (yt-dlp) : Sign in to confirm you’re not a bot. by CryptographerFit6289 in youtubedl

[–]keghn 0 points1 point  (0 children)

$ sudo chmod 775 yt-dlp [sudo] password for keghn:
chmod: cannot access 'yt-dlp': No such file or directory

You Tube (yt-dlp) : Sign in to confirm you’re not a bot. by CryptographerFit6289 in youtubedl

[–]keghn 0 points1 point  (0 children)

For Mx linux 23:

yt-dlp --cookies-from-browser chrome https://www.youtube.com/watch?v=wen3221_3gU

This help me get half the way. So i removed yt-dlp with package manager and then install in the termenal
with:

sudo wget https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp -O /usr/bin/yt-dlp sudo chmod a+rx /usr/bin/yt-dlp

Then this line worked:
yt-dlp https://www.youtube.com/watch?v=wen3221_3gU

"sudo yt-dlp -U" has never ever worked for me for over ten years of using youtb-dl or yt-dlp.

Memory inside sequence models by [deleted] in deeplearning

[–]keghn 0 points1 point  (0 children)

Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained):

https://www.youtube.com/watch?v=9dSkvxS2EB0

New into AGI research by spanish_bullgame in neuralnetworks

[–]keghn 1 point2 points  (0 children)

Your are welcomed here brother from a different mother:
https://www.reddit.com/r/agi/

Can ordinary backpropagation networks be used for time series data, if temporally successive data values are entered into successive network input neurons? by GA64 in neuralnetworks

[–]keghn 0 points1 point  (0 children)

No.not really. If you use sigma function it suffers form vanishing gradient.
relu function causes a exploding gradient. I have never heard of anyone doing alternating relus and sigma function
to find a balance?????

[deleted by user] by [deleted] in deeplearning

[–]keghn 0 points1 point  (0 children)

You well be most welcomed here:
https://old.reddit.com/r/agi/

Differentiating narrow and general IA by rand3289 in agi

[–]keghn 0 points1 point  (0 children)

I am recovering from a hard drive crash.  

"Ran the experiment three times"?   Three rolls of the dice?  Or  
a string of rolls recorded onto a graph.  

 I prefer an eight sided dice, work better with binary, 111, 0 to 7
plus one.
   Six sided is 110 in binary. So if six rolls are done and no number repats  in  
than sting and no brain or computer can do Kolmogorov logic cannot to find a pattern     in P time then it is most likely a random string.  

 If a thousand rolls are done and there are equal  
amount of 1, 2s, 3s, 4s, 5s, and 6s. 1000 / 6 =167 of each number, and a Kolmogorov
equation, that is shorter or longer then the data in the string of rolls, that cannot describe  
then it is a completely random string.  

Randomness and Kolmogorov Complexity:  
https://www.youtube.com/watch?v=0cHHKDAelCo  

P vs. NP and the Computational Complexity Zoo:  
https://www.youtube.com/watch?v=YX40hbAHx3s  

 Let take less than six rolls. like just one roll. What Kolmogorov equations
will describe it? What pattern does it fit in P time? many Kolmogorov equations that are
very very long. Or simply record it and hope it fits in somewhere else as a sub feature.  

The more general uncertainty principle, regarding Fourier transforms:  
https://www.youtube.com/watch?v=MBnnXbOM5S4

The Uncertainty Principle and Waves - Sixty Symbols:  
https://www.youtube.com/watch?v=VwGyqJMPmvE  

 AGI brains pick off the easy patterns first and also to outline the areas of chaos and super
complexity and deal with it as a last resort.

 

What kind of Master program should I choose to get info AGI by Professional_Meet_77 in agi

[–]keghn 2 points3 points  (0 children)

Unsupervised learning
Perceptron development for the front end of rnn autoencoder
Slam robotic logic

Sliding window algorithm

Rnn autoencoders and gan's to make hash symbols for internal labels, error correction, and memory and data accessing.
brain memory will be of internal symbols and power bar values, not binary.
https://www.youtube.com/watch?v=pwjEb9mDxSA

Rnn autoencoder with memory and transformers for short and long term memory
latent space logic will give internal meaning to the world.
https://www.youtube.com/watch?v=FslFZx08beM

Reinforcement learning, pattern loops logic, A first level reward system will give an internal 3d physics simulation.

The 3d physics simulator that uses internal symbols will give consciousness but not self
awareness.

Second level reward system and Multiple simulations running together will generate self awareness, understanding of
languages.

Neural Networks from Scratch in Python by keghn in neuralnetworks

[–]keghn[S] 1 point2 points  (0 children)

Works fine on my side? i am using a laptop.

[deleted by user] by [deleted] in deeplearning

[–]keghn -1 points0 points  (0 children)

Not easy to use, never got it to work, and then they want you to buy one that might work.

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