Pranjal Biyani
Pranjal is an experienced AI Scientist building the first AI powered platform to accelerate R&D for Material Sciences across the globe. He loves opening black-box models to reveal insightful AI secrets that help decision makers adapt with the ever changing Industry needs. He also loves to teach and mentor passionate individuals aspiring to be a part of the Data Science Community, all with his favourite language, Python!
Sessions
Exploring the process, implementation, practical applications, and advantages of stacking neural networks together. The tutorial focuses on building tunable, high-performance, multi-data-type feature models seamlessly using network concatenations in TensorFlow. We implement 3 examples and also derive explainability for a stacked neural network.