Keras

Keras is a high-level neural network API written in Python. It can run with TensorFlow, Theano, or CNTK as the backend. The following gives you a detailed introduction to Keras.

Main features

• Simple and Easy to Use: Keras has a concise and intuitive API design, and its code is highly readable, which lowers the threshold for deep learning model development. Even beginners can quickly get started with building and training neural networks.
• Modular: Each component of the model (such as layers, optimizers, loss functions, etc.) is an independent module, which can be conveniently combined and reused to quickly build various complex neural network architectures.
• Support for Multiple Backends: It can flexibly select different computing backends and run efficiently in different hardware environments, giving full play to the advantages of various computing resources.
• Rich Pre-trained Models: It provides a large number of pre-trained models, such as VGG, ResNet, Inception, etc. These models can be directly used for transfer learning, accelerating the model development speed and improving performance.