Neural network - Revision history

Fractalguy at 22:01, 5 July 2025

2025-07-05T22:01:25Z

← Older revision		Revision as of 22:01, 5 July 2025
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	# Negative Punishment - something good was taken away		# Negative Punishment - something good was taken away

	Every [[Emotions\|emotion]] is a combination of these four conditions with the nature ([[food]], [[sex]], attention, injury, etc.) and [[salience]] of the reinforcement or punishment. Take [[love]] as an example:		Every [[Emotions\|emotion]] is a combination of these four conditions with the nature ([[food]], [[sex]], [[attention]], injury, etc.) and [[salience]] of the reinforcement or punishment. Take [[love]] as an example:

	# Positive Reinforcement - you fall in love		# Positive Reinforcement - you fall in love

Fractalguy at 22:43, 28 January 2025

2025-01-28T22:43:29Z

← Older revision		Revision as of 22:43, 28 January 2025
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	[[File:Brainbow-Color-Stained-Neurons-Synapses.jpg\|thumb\|Color stained neurons showing connectivity]]		[[File:Brainbow-Color-Stained-Neurons-Synapses.jpg\|thumb\|Color stained neurons showing connectivity]]
	[[wikipedia:Neural_network\|Neural Networks]] are how [[brains]] and [[AI]] are able to learn. Therefore, learning how a neural network works is a [[necessary prerequisite]] for understanding how the [[self-organizing]] [[brain]] creates [[consciousness]].<blockquote>''“Neurons that fire together, wire together.”'' - Donald Hebb</blockquote>		[[wikipedia:Neural_network\|Neural Networks]] are how [[brains]] and [[AI]] are able to learn. Therefore, learning how a neural network works is a [[necessary prerequisite]] for understanding how the [[self-organizing]] [[brain]] creates [[consciousness]].<blockquote>''“Neurons that fire together, wire together.”'' - [[wikipedia:Donald_O._Hebb\|Donald Hebb]]</blockquote>

	== Neural Networks Simplified, Perhaps a Little Too Much ==		== Neural Networks Simplified, Perhaps a Little Too Much ==

Fractalguy: /* Videos that Actually Explain Neural Networks */

2025-01-02T23:38:51Z

Videos that Actually Explain Neural Networks

← Older revision		Revision as of 23:38, 2 January 2025
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	== Videos that Actually Explain Neural Networks ==		== Videos that Actually Explain Neural Networks ==
	[~~https://www.youtube.com/watch?v=PZPfbJnq_Hw Inner Cosmos - What does it mean to know thyself in an age of neuroscience? Part 1~~] ~~& [https://www.youtube~~.~~com/watch?v=4wyJURnAYmM Part 2]~~{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}		Train your neural network with videos on neural networks. [[Meta]].
			{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}
	<br>		<br>
	{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}		{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}

Fractalguy: /* Neural Networks Simplified, Perhaps a Little Too Much */

2025-01-02T23:37:00Z

Neural Networks Simplified, Perhaps a Little Too Much

← Older revision		Revision as of 23:37, 2 January 2025
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	Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]]. The fact that we can only know the statistical likelihood of a particular choice rather than knowing it with certainty also helps make for a good approximation of [[free will]].		Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]]. The fact that we can only know the statistical likelihood of a particular choice rather than knowing it with certainty also helps make for a good approximation of [[free will]].

	But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to [[work]] and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why ~~intentional~~ [[moderation]] is needed to avoid [[addiction]].		But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to [[work]] and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why [[moderation]] and [[variety]] are needed to avoid [[addiction]].

	Our [[brains]] are a probability matrix made of neurons that determine our actions. This means that if you want to change your actions to improve your [[life choices]], you need to re-train your [[Brains\|brain]].		Our [[brains]] are a probability matrix made of neurons that determine our actions. This means that if you want to change your actions to improve your [[life choices]], you need to re-train your [[Brains\|brain]].

Fractalguy: /* Neural Networks Simplified, Perhaps a Little Too Much */

2024-12-21T15:45:38Z

Neural Networks Simplified, Perhaps a Little Too Much

← Older revision		Revision as of 15:45, 21 December 2024
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	Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]]. The fact that we can only know the statistical likelihood of a particular choice rather than knowing it with certainty also helps make for a good approximation of [[free will]].		Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]]. The fact that we can only know the statistical likelihood of a particular choice rather than knowing it with certainty also helps make for a good approximation of [[free will]].

	But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to work and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why intentional [[moderation]] is needed to avoid [[addiction]].		But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to [[work]] and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why intentional [[moderation]] is needed to avoid [[addiction]].

	Our [[brains]] are a probability matrix made of neurons that determine our actions. This means that if you want to change your actions to improve your [[life choices]], you need to re-train your [[Brains\|brain]].		Our [[brains]] are a probability matrix made of neurons that determine our actions. This means that if you want to change your actions to improve your [[life choices]], you need to re-train your [[Brains\|brain]].

Fractalguy at 11:39, 30 October 2024

2024-10-30T11:39:48Z

← Older revision		Revision as of 11:39, 30 October 2024
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	[[File:Brainbow-Color-Stained-Neurons-Synapses.jpg\|thumb\|Color stained neurons showing connectivity]]		[[File:Brainbow-Color-Stained-Neurons-Synapses.jpg\|thumb\|Color stained neurons showing connectivity]]
	[[wikipedia:Neural_network\|Neural Networks]] are how [[brains]] and [[AI]] are able to learn. Therefore, learning how a neural network works is a [[necessary prerequisite]] for understanding how the [[self-organizing]] [[brain]] creates [[consciousness]].		[[wikipedia:Neural_network\|Neural Networks]] are how [[brains]] and [[AI]] are able to learn. Therefore, learning how a neural network works is a [[necessary prerequisite]] for understanding how the [[self-organizing]] [[brain]] creates [[consciousness]].<blockquote>''“Neurons that fire together, wire together.”'' - Donald Hebb</blockquote>

	== Neural Networks Simplified, Perhaps a Little Too Much ==		== Neural Networks Simplified, Perhaps a Little Too Much ==

Fractalguy: /* Videos that Actually Explain Neural Networks */

2024-09-29T11:59:43Z

Videos that Actually Explain Neural Networks

← Older revision		Revision as of 11:59, 29 September 2024
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	== Videos that Actually Explain Neural Networks ==		== Videos that Actually Explain Neural Networks ==
	[https://www.youtube.com/watch?v=PZPfbJnq_Hw Inner Cosmos = What does it mean to know thyself in an age of neuroscience? Part 1] & [https://www.youtube.com/watch?v=4wyJURnAYmM Part 2]{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}		[https://www.youtube.com/watch?v=PZPfbJnq_Hw Inner Cosmos - What does it mean to know thyself in an age of neuroscience? Part 1] & [https://www.youtube.com/watch?v=4wyJURnAYmM Part 2]{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}
	<br>		<br>
	{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}		{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}

Fractalguy: /* Neural Networks Simplified, Perhaps a Little Too Much */

2024-07-07T13:09:14Z

Neural Networks Simplified, Perhaps a Little Too Much

← Older revision		Revision as of 13:09, 7 July 2024
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	# Negative Punishment - your partner leaves you for the dominatrix		# Negative Punishment - your partner leaves you for the dominatrix

	Do the same thing with each of our basic [[evolutionary]] survival instincts like [[food]], [[Money\|shelter]], [[Healthcare\|health]], [[family]], etc. and you create all of the core emotions like joy, fear, jealousy, anger, sadness, surprise, and [[happiness]]. This is how our [[consciousness]] experiences the training of our neural network [[subjectively]].		Do the same thing with each of our basic [[evolutionary]] survival instincts like [[food]], [[Money\|shelter]], [[Healthcare\|health]], [[family]], etc. and you create all of the core [[emotions]] like joy, fear, jealousy, anger, sadness, surprise, and [[happiness]]. This is how our [[consciousness]] experiences the training of our neural network [[subjectively]].

	In terms of wiring, you can think about it this way. Our neurons connect our senses to our muscles, and the synapses connect the neurons to each other. The probability that one neuron will fire the next depends on the strength of that connection. Every sense stimuli has a particular pattern of neurons that fire from our eyes, ears, nose, tongue, and skin, which go through a probability matrix in our synapses to determine which muscles are activated and what we ultimately do. Depending on the reinforcement or punishment received as a result, the synaptic connections are modified accordingly.		In terms of wiring, you can think about it this way. Our neurons connect our senses to our muscles, and the synapses connect the neurons to each other. The probability that one neuron will fire the next depends on the strength of that connection. Every sense stimuli has a particular pattern of neurons that fire from our eyes, ears, nose, tongue, and skin, which go through a probability matrix in our synapses to determine which muscles are activated and what we ultimately do. Depending on the reinforcement or punishment received as a result, the synaptic connections are modified accordingly.

Fractalguy: /* Videos that Actually Explain Neural Networks */

2024-06-12T18:58:23Z

Videos that Actually Explain Neural Networks

← Older revision		Revision as of 18:58, 12 June 2024
Line 35:		Line 35:

	== Videos that Actually Explain Neural Networks ==		== Videos that Actually Explain Neural Networks ==
	{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}		[https://www.youtube.com/watch?v=PZPfbJnq_Hw Inner Cosmos = What does it mean to know thyself in an age of neuroscience? Part 1] & [https://www.youtube.com/watch?v=4wyJURnAYmM Part 2]{{#ev:youtube\|https://www.youtube.com/watch?v=aircAruvnKk\|\|center\|But what is a neural network? \|frame}}
	<br>		<br>
	{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}		{{#ev:youtube\|https://www.youtube.com/watch?v=Xv_JJ2ZuDJM\|\|center\|How Do Neural Networks Grow Smarter?\|frame}}

Fractalguy: /* Neural Networks Simplified, Perhaps a Little Too Much */

2024-01-27T15:00:17Z

Neural Networks Simplified, Perhaps a Little Too Much

← Older revision		Revision as of 15:00, 27 January 2024
Line 28:		Line 28:
	# Negative Punishment - synapses are "weakened", decreasing the chances you'll do whatever caused the good thing to go away		# Negative Punishment - synapses are "weakened", decreasing the chances you'll do whatever caused the good thing to go away

	Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]].		Of course, this system offers no room for [[free will]] since every action is simply a probability based on the stimulus of the environment and the neural network training provided by our conditioning. But there are a lot of different stimuli, possible actions, and neurons in-between, which makes the infinite combinations they lead to really seem like [[free will]]. The fact that we can only know the statistical likelihood of a particular choice rather than knowing it with certainty also helps make for a good approximation of [[free will]].

	But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to work and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why intentional [[moderation]] is needed to avoid [[addiction]].		But when you really think about it, each day you really only have a handful of options to choose from, and you always tend towards your favorites. Forget about all the days where you have to go to work and have only that single option, even on days off most people tend towards the habitual unless they make it a point not to. This is our natural tendency, due to the fact that the things we do more often are reinforced more and more, and so become even more likely to be done again in the [[future]]. This is why intentional [[moderation]] is needed to avoid [[addiction]].