I am using computation in the strictly mathematical sense. As in dealing with numbers. I do not think that our minds operate through a constant stream of numbers that become thoughts. In that way, a computer and a human…
A transistor is not doing computation. It is flipping a bit. Those bits are flipped in binary patterns with logic gates to do the computation. And a transistor is not a neural network node.
And what evidence do you have that human neurons do any kind of computation at all? Generally, they are stimulated by some sensation until they reach a certain threshold that causes them to fire. That is the basic kind…
Using the word "feels" (or "thinks") is a too much of a personification of a neural network. You cannot forget that under the hood, it is cranking through a bunch of math functions. You always get the same output from…
The biggest problem I see to training a network to program is that it would require a lot of example programs to serve as training data. Which means we need a lot of really good, bug free programs that already…
Neural Networks do not think. They perform a series of computations, and arrive at a result. It is not intelligence. It is a very useful tool for solving problems that can be quantified and that we can generate a lot of…
I am using computation in the strictly mathematical sense. As in dealing with numbers. I do not think that our minds operate through a constant stream of numbers that become thoughts. In that way, a computer and a human…
A transistor is not doing computation. It is flipping a bit. Those bits are flipped in binary patterns with logic gates to do the computation. And a transistor is not a neural network node.
And what evidence do you have that human neurons do any kind of computation at all? Generally, they are stimulated by some sensation until they reach a certain threshold that causes them to fire. That is the basic kind…
Using the word "feels" (or "thinks") is a too much of a personification of a neural network. You cannot forget that under the hood, it is cranking through a bunch of math functions. You always get the same output from…
The biggest problem I see to training a network to program is that it would require a lot of example programs to serve as training data. Which means we need a lot of really good, bug free programs that already…
Neural Networks do not think. They perform a series of computations, and arrive at a result. It is not intelligence. It is a very useful tool for solving problems that can be quantified and that we can generate a lot of…