Deep Learning

Introduction to Deep Learning

• • • Lecture Notes

      • Module I: Introduction to Deep Learning [Module 1]

      • Module II: Link [Module 2]

      • Module III : Link [Module 3] [Hands-on]

      • Module IV: Link [Module 4]

      • Module V: Link [Module 5]

• • • Practical Materials 

    • How to install Anaconda

    • Training and Evaluating Binary Classifier [Notebook]

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

    • Leaf Disease Detection using Deep learning Model [Dataset: Train, validation, Test] [Notebook]

    • Training and Evaluation of Object Detection Model

      • Dataset Preparation [Data] [Documentation] [Labelled Data]

      • Model Training : Guidebook [Link] [Required files]

    • Use the statistical analysis (mean, median, standard deviation, ANOVA and t-test) to conclude which of the model has better accuracy [Dataset]