The session focuses on the a deep and practical understanding of deep learning's neural networks using Keras and TensorFlow for developers to build better and efficient ML models.

The session takes into account the mathematics and building blocks behind neural networks and demonstrates to the attendees how to build one and make it efficient through the concepts of fine-tuning and transfer learning.