CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 CHANGE DETECTION

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 COMPONENTS

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 MODULES

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 TEMPLATES

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 NESTED COMPONENTS

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 DIRECTIVES

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 DATABINDING

CS22077 ADVANCED USER INTERFACE TECHNOLOGIES UNIT 2 PIPES

CS22037 U5 4 Real Time Applications

CS22037 U5 3 Formalization of Explanation Techniques and Evaluations, Adoption of Interpretable

UNIT 5 CS22032 DNN P2-ENCODER DECODER RNN,LSTM,GRU

UNIT 5 CS22032 DNN _SEQUENCE MODELS,RNN

CS22037 U5 2 Challeneges and Taxnomy

CS22037 U5 1 Time Series Forecasting, Natural Language Processing, and Computer Vision XAI

CS22037 U4 6 Case Study

CS22037 U4 5 Deep Visualization Techniques detailed with Real time

CS22037 U4 4 Case Study Attention + Modularity +Feature Identification

UNIT 4 CS22032 DNN P3_BATCH NORMALIZATION

CS22037-U4 2 Learn to Explain – Feature Visualization Deep Visualization

CS22037-U4-3-gradcam and Activation maps Sensitivity analysis

CS22037-U4-1-Attention Mechanisms – Modular Networks – Feature Identification

CS22037-U3-5 Case Study Real world Scenario (Explainable AI)

CS22037-U3 -4 Real World Mapping

CS22037-U3- 3-Optimizing sparse logical models such as decision trees, supervised disentanglement

UNIT 4 CS22032 DNN P2

UNIT 4 CS22032 DNN P1

UNIT 3 CS22032 P3

UNIT 3 CS22032 P2

U3 2 Post Hoc Interpretability and Explanations

U3 1 Interpretable & Explainable Algorithms

UNIT 2 MODEL SELECTION,REGULARIZATION,WHITE DECAY,DROPOUT

CS22037- U2 PHE Models, method & Comparison

CS22037- U2 Realtime Concept Part 2

CS22037-U2 Real Time Concept of AHE, PHE, IML & Beta Part 1

CS22037- U2 IML, BETA MOdels

CS22037-U2 Hybrid Models Model Validation Hyperparameters Model Selction & Visualization

U2- Ante hoc,Concepts & Examples

CS22032_U3_CNN& Constraints in CNN, Convolution in MLP

CS22037-U1 EXPLAINABLE AI Overall RECAP

CS22037- U1 Realtime Concept Explain Part2

CS22037-U1 Realtime Concept Explain Part1

CS22037-U1 Flowchart • Pre Model Interpretability • XAI Techniques & Limitations

CS22037-U1- Societal Impact, Types of Explanations, Trade offs, and Taxonomy

CS22037_U1_I Introduction, Black-Box Problem, Goals, Brief History, Purpose

CS22032_U2_Activation function

CS22032_UNIT 2_Multi layer perceptron

UNIT 1 CS22032 DNN P3 SOFTMAX REGRESSION

UNIT 1 H& M CS22032 DNN P2 LOSS FUNCTION AND COST FUNCTION

CS22032 DNN_P1

U2_Threads and Attacks Vectors

U2_Common_ Vulnerabilities and Exposure CVE

U2_Security Attacks

CS22076_U1_L2_JSP_LifeCycle

CS22076_U1_L3_JSP_Architecture

CS22076_U1_L3_JSP_Introduction

CS22076_U1_L2_PHP_Global_variables

CS22041 U1 P8 Business Model in Information Security

CS22041 U1 P7 SDLC Model

CS22041 U1 P6 Securing the Components of Information Security

CS22041 U1 P5 Computer Security Concerns