Following topics are covered as part of the course

• Explore building blocks of neural networks

  • Data representation, Tensor, Back propagation

    
    

• Keras

  • Dataset, Applying Keras to cases studies, over fitting / under fitting

    
    

• Artificial Neural Networks (ANN)

  • Activation functions

  • Loss functions

  • Gradient Descent

  • Optimizer

    
    

• Image Processing

  • Convnets (CNN), hands-on with CNN

    
    

• Text and Sequences

  • Text data, Language Processing

  • Recurrent Neural Network (RNN)

  • LSTM

  • Bidirectional RNN

• Gradients and Back Propagation - Mathematics

  • Gradient Descent

  • Mathematics

    
    

• Image Processing  / CV - Advanced

  • Image Data Generator

  • Image Data Generator - Data Augmentation

  • Pre-trained network

    
    

• Functional API

  • Intro to Functional API

  • Multi Input Multi Output Model

The videos are concepts and hands-on implementation of topics