CS22077 Unit III Introduction to Angular Js

CS22077 Unit I Introduction to TypeScript

CS22077 Advanced User Interface Technologies Basic Introduction

Unit V 6 React Redux Forms and its validation

Unit V 8 Client Server Communication and Fetch , Building and Deploying the React Application

Unit V 5 Introduction to Redux

Unit V 4 Overview of the Flux architecture

Unit V 7 Redux Actions and Combining Reducers

Unit V 3 Form validation in React applications

Unit V 2 Controlled and Uncontrolled Forms

Unit V 1 Introduction

CS22077 - UNIT IV - React router

CS22077 UNIT IV -React JSX

CS22077 - UNIT IV React Internals

CS22077 - UNIT IV - Hybrid Vs Native

CS22077 - UNIT IV - React Environment Setup

CS22077 - UNIT IV - React component

CS22077 - UNIT IV Introduction to React

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