Deep Learning 2: Mathematical principles and backpropagation

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Foundational Statistics
probability density function
joint probability density function
marginal and conditional probability
expected values
Foundational calculus
derivative of a function
rules of differentiation
partial derivative of a function
rules of partial differentiation
the Jacobian matrix
Mathematics of neural networks
neural network functions
computational graphs
reverse mode of differentiation

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