A bot might, but this post is pointing out how common it is for people who consider themselves AI experts to not recognize this diagram that is basically part of AI 101
The simplest neural network (simplified).
You input a set of properties(first column). Then you weightedly add all of them a number of times(with DIFFERENT weights)(first set of lines). Then you apply a non-linearity to it, e.g. 0 if negative, keep the same otherwise(not shown).
You repeat this with potentially different numbers of outputs any number of times.
Then do this again, but so that your number of outputs is the dimension of your desired output. E.g. 2 if you want the sum of the inputs and their product computed(which is a fun exercise!). You may want to skip the non-linearity here or do something special™
To elaborate: the dots are the simulated neurons, the lines the links between neurons. The pictured neural net has four inputs (on the left) leading to the first layer, where each neuron makes a decision based on the input it recieves and a predefined threshold, and then passes its answer on to the second layer, which then connects to the two outputs on the right
OK but what actually is this image?
Basic model of a neural net. The post is implying that you’re arguing with bots.
https://en.wikipedia.org/wiki/Neural_network_(machine_learning)
Wouldn’t a bot recognize this though?
A bot might, but this post is pointing out how common it is for people who consider themselves AI experts to not recognize this diagram that is basically part of AI 101
They’re not saying that the bots are asking what the image is, but users (may be bots or not) that sell themselves as AI/ML experts.
https://youtu.be/7YqEZrP5t1g
Would you recognize if someone made a block diagram of your brain?
The simplest neural network (simplified). You input a set of properties(first column). Then you weightedly add all of them a number of times(with DIFFERENT weights)(first set of lines). Then you apply a non-linearity to it, e.g. 0 if negative, keep the same otherwise(not shown).
You repeat this with potentially different numbers of outputs any number of times.
Then do this again, but so that your number of outputs is the dimension of your desired output. E.g. 2 if you want the sum of the inputs and their product computed(which is a fun exercise!). You may want to skip the non-linearity here or do something special™
Illustration of a neural network.
To elaborate: the dots are the simulated neurons, the lines the links between neurons. The pictured neural net has four inputs (on the left) leading to the first layer, where each neuron makes a decision based on the input it recieves and a predefined threshold, and then passes its answer on to the second layer, which then connects to the two outputs on the right
Logic.
Many player cat’s cradle