September 2018
Intermediate to advanced
296 pages
9h 10m
English
Content preview from Python Reinforcement Learning Projects
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Neural networks
A neural network is a type of computational architecture that is composed of layers of perceptrons. A perceptron, first conceived in the 1950s by Frank Rosenblatt, models the biological neuron and computes a linear combination of a vector of input. It also outputs a transformation of the linear combination using a non-linear activation, such as the sigmoid function. Suppose a perceptron receives an input vector of 
. The output, a, of the perceptron, would be as follows:
Whereare the weights of the perceptron, b is a constant, ...
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