Soft Computing

Soft Computing

• • Lecture Notes

    • Module I: Soft Computing [Module 1]

    • Module II: Neural Network [Module 2] 

    • Module III: Advanced Neural Network [Module 3] 

    • Module IV: Fuzzy Logic [Module 4] [Module 4-A]

    • Module IV: Genetic Algorithm [Module 5] 

  • Practical Materials 

    • • 1. • Training and Evaluating Binary Classifier [Notebook] [Train Data] [Test Data]

           • Training and Evaluating Multiclass Classifier [Notebook] [Dataset]

           • Multi-class classification on Image dataset using Deep learning Model [Dataset: Train, validation, Test] [Notebook]

           • Training and Evaluation of Object Detection Model

             1. Dataset Preparation [Data] [Documentation] [Labelled Data]

             2. Model Training : Guidebook [Link] [Required files]

           • Fuzzy Logic-Based Traffic Signal Control System [Link]

• • • • Previous Year Course Feedback  [1]