What is Keras _ day 13
Understanding Keras and Its Role in Deep Learning What is Keras? Keras is an open-source software library that provides a Python interface for artificial neural networks. It serves as a high-level API, simplifying the process of building and training deep learning models. Developed by François Chollet, a researcher at Google, Keras was first released in March 2015. It is designed to enable fast experimentation with deep neural networks, which is crucial for research and development in machine learning and artificial intelligence (AI). Who Invented Keras and Why? François Chollet created Keras to democratize deep learning by making it accessible and easy to use. His goal was to provide a tool that allows for rapid experimentation with neural networks, enabling researchers and developers to prototype and test ideas quickly. The vision behind Keras was to lower the barrier to entry in deep learning, making it possible for more people to contribute to the field. What’s Behind Keras? Keras itself is a high-level wrapper for deep learning frameworks. Initially, it supported multiple backends, including TensorFlow, Theano, and Microsoft Cognitive Toolkit (CNTK). With the release of Keras 3, it now seamlessly integrates with TensorFlow, JAX, and PyTorch, allowing users to choose their preferred...
