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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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Neural networks. Neurons in an artificial neural network are usually arranged into layers, with information passing from the first layer (the input layer) through one or more intermediate layers (hidden layers) to the final layer (the output layer). the "signal" input to each neuron is a number, specifically a | [
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Neural networks. Linear combination of the outputs of the connected neurons in the previous layer. the signal each neuron outputs is calculated from this number, according to its activation function. the behavior of the network depends on the strengths (or weights) of the connections between neurons. a network | [
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Neural networks. A neural network is a group of interconnected units called neurons that send signals to one another. neurons can be either biological cells or mathematical models. while individual neurons are simple, many of them together in a network can perform complex tasks. there are two main types of neural | [
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