Keras is an AI Code tool. Helps you build and train AI models. It uses Python to make making cool AI stuff easier, simpler and faster. Key features include Model API, Layer API, and Optimizer and Loss APIs. Best for data scientists and analysts, scientists and researchers and software developers and engineers.
About Keras
Keras is a tool for creating deep learning models. It lets different systems work together, like TensorFlow or PyTorch. It's free, easy to use, and helps researchers and beginners make AI models for phones, websites, and more. You can quickly test ideas with it.
Key Features
Model API.
Build models with different levels of complexity. Use sequential, functional, or subclassing approaches.
Layer API.
Define how data transformations happen. Handle both data processing and neural network layers using tensor input/output.
Optimizer and Loss APIs.
Customize your model training. Supports many current optimizers and loss functions to meet training goals.
Callback API.
Add custom actions during training. Implement features like early stopping and metric logging easily.
Data Preprocessing API.
Prepare data efficiently. Tools are available for data normalization and text vectorization to streamline the process.
Cross-platform Support.
Run Keras models anywhere. Export and use models on devices like smartphones and web browsers thanks to TensorFlow integration.
Frequently Asked Questions
Keras is used for building, training, and deploying deep learning models with Python.
Yes, Keras supports multiple backends, like TensorFlow and PyTorch, beginning with version 3.
Yes, Keras is completely free and open-source.
Keras can create sequential, functional, and subclassed models for various neural network types.
