Keynote: Best Practices for Maximizing Productivity in Deep Learning Research and Development

Location: Cyril Magnin Ballroom

Duration: 9:00am - 10:10am

Day of week: Tuesday

Abstract

Francois Chollet, the creator of Keras, discusses best practices for deep learning in the opening keynote for QCon.ai. The talk discusses techniques and recommendations for designing highly productive APIs for machine learning, and offers essential updates on the new TensorFlow 2.0 framework.

Speaker: François Chollet

Software Engineer @Google & Creator of Keras

Creator of Keras (keras.io), a leading deep learning API, and author of the popular textbook "Deep Learning with Python". Francois Chollet is also a machine learning researcher at Google Brain and a contributor to the TensorFlow machine learning framework, where Keras plays a major role.

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.