Keras
Keras is a high-level neural networks API written in Python, designed to enable fast experimentation with deep learning models. It provides a user-friendly interface for building, training, and deploying machine learning models, often serving as a frontend for lower-level frameworks like TensorFlow, Theano, or Microsoft Cognitive Toolkit. Keras emphasizes modularity, simplicity, and extensibility, making it popular for prototyping and research in deep learning.
Developers should learn Keras when working on deep learning projects that require rapid prototyping, such as image classification, natural language processing, or time-series forecasting, as it simplifies model building with pre-built layers and optimizers. It is particularly useful for beginners in machine learning due to its intuitive syntax and extensive documentation, and for production environments when integrated with TensorFlow for scalability and deployment. Use cases include building convolutional neural networks (CNNs) for computer vision tasks or recurrent neural networks (RNNs) for sequence data.