Automated Machine Learning With Keras

Explore automated machine learning techniques using Keras in this 31-minute conference talk from EuroPython 2021. Discover how libraries like Keras Tuner and AutoKeras can streamline the process of finding optimal hyperparameters for deep learning models. Learn to create high-level templates that enable efficient automated searches, making deep learning more accessible to a wider audience. Follow along as the speaker demonstrates progressively simplified approaches to model development, showcasing how these tools can produce high-performing models with minimal effort. Gain insights into the practical applications of automated machine learning for various skill levels, from technical managers to data scientists. Access accompanying code examples through the provided GitHub repository to enhance your understanding and implementation of these techniques.

Intro
Laziness
Hyper Parameters
Keras
Toy Problem
Keras Function
Keras Tuner
Notebook
Technical Manager
Data Scientist
AutoCAD
Conclusion