Pranjal Biyani - How to Stack Neural Networks together Ideas and Applications | PyData London 2022

Pranjal Biyani Presents: How to Stack Neural Networks together? Ideas and Applications 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. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.