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  • History and Motivation of Learning Models  

  • Hybrid Data

  • Deep Learning Concepts (DL)

  • Role of Data Analytics in DL 

  • Various modelling approaches for deep learning

  • Introduction to Convolutions, Convnet  

  • Introduction to different CNN architectures- AlexNet, VGG-16, Resnet-50 for transfer learning 

  • Handon - Image Classification Model-Gender and age prediction with IMDB gender and age dataset 

  • Hyperparameter Optimization for CNN model and model evaluation techniques

     

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