10.16: Neural Networks: Backpropagation Part 3 - The Nature of Code

10.16: Neural Networks: Backpropagation Part 3 - The Nature of Code

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The Coding Train • 10K views

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Math topics:
_Matrices_##Matrices##_Transpose_##Transpose##_Matrix_(mathematics)_##Matrix (mathematics)##_Row_and_column_vectors_##Row and column vectors##_Functions_and_mappings_##Functions and mappings##_Gradient_##Gradient##_Derivative_##Derivative##_Function_(mathematics)_##Function (mathematics)##_Estimation_theory_##Estimation theory##_Curve_fitting_##Curve fitting##_Errors_and_residuals_##Errors and residuals##_Linear_regression_##Linear regression##_Analytic_geometry_##Analytic geometry##_Scalar_(mathematics)_##Scalar (mathematics)##_Dot_product_##Dot product##_Cartesian_coordinate_system_##Cartesian coordinate system##_Mathematical_optimization_##Mathematical optimization##_Maxima_and_minima_##Maxima and minima##_Ordinary_least_squares_##Ordinary least squares##_Gradient_descent_##Gradient descent##_Mathematical_notation_##Mathematical notation##_Formula_##Formula##_Multiplication_##Multiplication##_Summation_##Summation
Other topics:
_Machine_learning_##Machine learning##_Genetic_algorithm_##Genetic algorithm##_Supervised_learning_##Supervised learning##_Machine_learning_##Machine learning##_Artificial_neural_networks_##Artificial neural networks##_Deep_learning_##Deep learning##_Backpropagation_##Backpropagation##_Perceptron_##Perceptron##_Physics_##Physics##_Euclidean_vector_##Euclidean vector##_Dimension_##Dimension##_Linearity_##Linearity
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