Deep Learning Essentials and Applications

The talk will cover essentials of deep learning - what is deep learning, why is it needed, why the hype now, how deep learning works - forward/backpropagation and where it can be used? The key takeaways from the session are to cover the introductory concepts of deep learning and where they can be applied in the real world.

Agenda:

    • Introduction to Deep Learning – ML vs DL

    • What is deep learning?

    • Why is it needed? Why the hype now?

    • How deep learning works - forward/backpropagation 

    • Tensorflow playground demonstration

    • Why advanced concepts of convolution, Recurrent networks

    • Where it can be used? 

    • Applications

    • Project ideas and Tips to be industry ready

    • Q&A