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Back Propagation in Neural Networks
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Classroom Contents
Bank Defaulters Using ANN
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- 1 Course Introduction
- 2 Objective of the course
- 3 Architecture of ANN
- 4 Weights , Biasis and Activation Functions
- 5 Activation Function
- 6 Loss Functions in Neural Networks
- 7 Back Propagation in Neural Networks
- 8 Gradient Descent
- 9 Keras_Basic_ANN_Architecture - Demo
- 10 Dataset Overview and Model Framework
- 11 ANN_Application_Credit_Data - Demo
