Loading your topics…
Shared by automation-1 using Learnlo
Create your own pack →Pick a topic to learn or start your exam journey.
0/10 topics mastered
Pick a topic to start learning!
Keras is an open-source Python library for building and training artificial neural networks. It was designed to make deep learning fast to experiment with by emphasizing user-friendliness, modularity, and extensibility. Keras provides a high-level interface that helps developers work efficiently with common neural-network components and workflows. Originally, Keras supported multiple backends (such as TensorFlow, Theano, and others). Over time, it became tightly focused on TensorFlow, but starting with Keras 3 it returned to a multi-backend approach, supporting TensorFlow, JAX, and PyTorch (and also adding support for OpenVINO). Keras includes many ready-to-use building blocks—like layers, activation functions, optimizers, and loss/objective functions—and supports both standard and specialized architectures such as convolutional and recurrent neural networks, along with tools for image and text data.
0/2 modes complete
0/2 modes complete