Keras Turns 10: A decade of deep learning

Keras celebrates its 10th anniversary with creators François Chollet and Matt Watson reflecting on the framework's journey. Starting in 2015 as a simple wrapper for Theano focused on RNNs, Keras evolved through multiple backends (Theano, TensorFlow), became embedded in TensorFlow, and recently returned to multi-backend independence with Keras 3 supporting JAX, PyTorch, and TensorFlow. The discussion covers design philosophy centered on progressive disclosure of complexity, community-driven development, integration with Kaggle for model sharing, and advice for learners to focus on fundamentals rather than hype. The framework has grown to over 2 million users while maintaining API stability and ease of use as core principles.