Neural Networks Demystified [Part 3: Gradient Descent]

Neural Networks Demystified [Part 3: Gradient Descent]

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Welch Labs • 283K views

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Math topics:
_Calculus_##Calculus##_Maxima_and_minima_##Maxima and minima##_Calculus_##Calculus##_Series_(mathematics)_##Series (mathematics)##_Partial_derivative_##Partial derivative##_Functions_and_mappings_##Functions and mappings##_Graph_of_a_function_##Graph of a function##_Square_(algebra)_##Square (algebra)##_Function_(mathematics)_##Function (mathematics)##_Integers_##Integers##_1_(number)_##1 (number)##_Million_##Million##_1,000,000,000_##1,000,000,000##_100_(number)_##100 (number)##_Geometry_##Geometry##_Parabola_##Parabola##_Dimension_##Dimension##_Convex_set_##Convex set##_Real_number_##Real number
Other topics:
_Machine_learning_##Machine learning##_Curse_of_dimensionality_##Curse of dimensionality##_Stochastic_gradient_descent_##Stochastic gradient descent##_Loss_function_##Loss function##_Engineering_disciplines_##Engineering disciplines##_Lens_(optics)_##Lens (optics)##_Mathematical_optimization_##Mathematical optimization##_Machine_learning_##Machine learning##_Computer_programming_##Computer programming##_Gradient_descent_##Gradient descent##_Python_(programming_language)_##Python (programming language)##_Approximation_##Approximation
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