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Advanced Machine Learning 2022 - day 10… duration 1 hour 17 minutes Advanced Machine Learning 2022 - day 10… Advanced Machine Learning 2022 - day 10 Regularization and Dropout	Advanced Machine Learning 2022 - day 10 Regularization and Dropout L1 and L2 Regularization, Dropout, including regularization in Keras models training regularization homework dropout bit network function things model size validation questions l1 l2 performance input curve parameters layer neuron From Andrew Fagg 0 likes 11 plays 0
AME 3623 - Day 20 duration 1 hour 14 minutes AME 3623 - Day 20 AME 3623 - Day 20	AME 3623 - Day 20 PD Control; Project 7 vchr3051 theta point direction curve control things equilibrium torque velocity energy dot range friction thing kp side questions imu orientation equation From Andrew Fagg 0 likes 45 plays 0
Advanced Machine Learning - Day 17 duration 1 hour 18 minutes Advanced Machine Learning - Day 17 Advanced Machine Learning - Day 17	Advanced Machine Learning - Day 17 Metrics and learning curves; Recurrent neural networks vchr3051 rate training network threshold accuracy layer output validation point curve signal networks homework examples performance class lot things label question From Andrew Fagg 0 likes 51 plays 0
ChE 3723 F2020 Lecture 13 Nonlinear Regression… duration 50 minutes 45 seconds ChE 3723 F2020 Lecture 13 Nonlinear Regression… ChE 3723 F2020 Lecture 13 Nonlinear Regression Models 10/2/2020	ChE 3723 F2020 Lecture 13 Nonlinear Regression Models 10/2/2020 In today's lecture we consider some of the most useful nonlinear regression models and how to implement them using Excel. We look at using Excel's Trendline analysis, at using our linear… harw8589 exponential model power law model saturation growth model regression curve fitting From Jeffrey Harwell 0 likes 37 plays 0