Neural Networks (2): Backpropagation

Neural Networks (2): Backpropagation

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Alexander Ihler • 30K views

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Math topics:
_Differential_calculus_##Differential calculus##_Gradient_##Gradient##_Derivative_##Derivative##_Differentiable_function_##Differentiable function##_Chain_rule_##Chain rule##_Mathematical_optimization_##Mathematical optimization##_Gradient_descent_##Gradient descent##_Stochastic_gradient_descent_##Stochastic gradient descent##_Mathematical_optimization_##Mathematical optimization
Other topics:
_Mathematical_and_quantitative_methods_(economics)_##Mathematical and quantitative methods (economics)##_Artificial_neural_network_##Artificial neural network##_Regression_analysis_##Regression analysis##_Probability_distribution_##Probability distribution##_Artificial_neural_networks_##Artificial neural networks##_Deep_learning_##Deep learning##_Multilayer_perceptron_##Multilayer perceptron##_Activation_function_##Activation function##_Backpropagation_##Backpropagation##_Perceptron_##Perceptron##_Physics_##Physics##_Nonlinear_system_##Nonlinear system##_Euclidean_vector_##Euclidean vector##_Linearity_##Linearity##_Statistical_deviation_and_dispersion_##Statistical deviation and dispersion##_Mean_squared_error_##Mean squared error##_Errors_and_residuals_##Errors and residuals##_Standard_deviation_##Standard deviation##_Machine_learning_##Machine learning##_Geoffrey_Hinton_##Geoffrey Hinton##_Generative_model_##Generative model##_Statistical_classification_##Statistical classification##_Linear_algebra_##Linear algebra##_Linear_combination_##Linear combination##_Matrix_(mathematics)_##Matrix (mathematics)##_Linear_map_##Linear map##_Scientific_method_##Scientific method##_MATLAB_##MATLAB##_Prediction_##Prediction##_Measurement_##Measurement
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