Neural network tutorial: The back-propagation algorithm (Part 1) Neural network tutorial: The back-propagation algorithm (Part 1) begin-post-stats Ryan Harris • 261K views end-post-stats begin-duration 13:01 end-duration Math topics: _Functions_and_mappings_##Functions and mappings##_Derivative_##Derivative##_Exponential_function_##Exponential function##_Function_(mathematics)_##Function (mathematics)##_Differentiation_rules_##Differentiation rules##_Quotient_rule_##Quotient rule##_Chain_rule_##Chain rule##_Power_rule_##Power rule##_Elementary_arithmetic_##Elementary arithmetic##_Subtraction_##Subtraction##_Negative_number_##Negative number##_Equality_(mathematics)_##Equality (mathematics)##_Algorithms_##Algorithms##_Artificial_neural_network_##Artificial neural network##_Algorithm_##Algorithm##_Gradient_descent_##Gradient descent Other topics: _Cybernetics_##Cybernetics##_Transfer_function_##Transfer function##_Backpropagation_##Backpropagation##_Sigmoid_function_##Sigmoid function##_Greek_letters_##Greek letters##_Theta_##Theta##_Omega_##Omega##_Sigma_##Sigma##_Metaphysics_##Metaphysics##_Information_##Information##_Value_(ethics)_##Value (ethics)##_Time_##Time video-id: aVId8KMsdUU channel_Ryan_Harris_ So What Learning Algorithms , Cybernetics , Differentiation rules , Elementary arithmetic , Functions and mappings , Greek letters , Metaphysics Sunday, January 21, 2018 Share Share