Lecture 7 | Training Neural Networks II

Lecture 7 | Training Neural Networks II

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Stanford University School of Engineering • 54K views

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Math topics:
_Differential_operators_##Differential operators##_Gradient_##Gradient##_Hessian_matrix_##Hessian matrix##_Laplace_operator_##Laplace operator##_Mathematical_optimization_##Mathematical optimization##_Maxima_and_minima_##Maxima and minima##_Mathematical_optimization_##Mathematical optimization##_Limited-memory_BFGS_##Limited-memory BFGS##_Gradient_descent_##Gradient descent##_Moment_(mathematics)_##Moment (mathematics)##_Moment_(mathematics)_##Moment (mathematics)##_Method_of_moments_(statistics)_##Method of moments (statistics)##_Mean_##Mean##_Elementary_mathematics_##Elementary mathematics##_Function_(mathematics)_##Function (mathematics)##_Linearity_##Linearity##_Cartesian_coordinate_system_##Cartesian coordinate system##_Statistical_inference_##Statistical inference##_Overfitting_##Overfitting##_Estimator_##Estimator##_Loss_function_##Loss function
Other topics:
_Physics_##Physics##_Euclidean_vector_##Euclidean vector##_Time_##Time##_Dimension_##Dimension##_Motion_(physics)_##Motion (physics)##_Motion_(physics)_##Motion (physics)##_Momentum_##Momentum##_Velocity_##Velocity##_Computational_neuroscience_##Computational neuroscience##_Artificial_neural_network_##Artificial neural network##_Deep_learning_##Deep learning##_Machine_learning_##Machine learning
video-id: _JB0AO7QxSA channel_Stanford_University_School_of_Engineering_