Keras
Keras is a high-level deep learning API that runs on top of TensorFlow, making it an excellent choice for rapid prototyping and experimentation. Originally developed as an independent library, Keras has been integrated into TensorFlow, offering a user-friendly interface for building neural networks.
One of the defining features of Keras is its simplicity and modularity. It abstracts away much of the complexity involved in defining deep learning models, allowing developers to focus on designing architectures rather than worrying about implementation details. Keras supports multiple backends, including TensorFlow, Theano, and Microsoft Cognitive Toolkit (CNTK), although TensorFlow is now the primary backend.
Keras provides a wide range of pre-trained models, which can be fine-tuned for specific tasks. This is particularly useful in applications like image classification (using models like ResNet, VGG, and MobileNet) and NLP (using transformer-based models). The library also offers built-in support for data augmentation and transfer learning, making it an ideal tool for deep learning projects with limited datasets.
Keras is widely used in medical imaging, autonomous systems, and AI-powered recommendation engines. Its balance between ease of use and powerful capabilities makes it a go-to choice for both beginners and professionals.