Powerful open-source deep learning library for Python, providing easy-to-use tools for building neural networks, enabling developers to focus on model development.
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Keras is a high-level neural networks API, written in Python. It runs on top of TensorFlow, CNTK, or Theano.
Yes, Keras is considered one of the easiest deep learning frameworks to learn and use, making it a great choice for beginners.
Keras' key features include its simplicity, flexibility, and ease of use. It also supports both convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Yes, Keras can be used in production environments, especially when combined with a backend framework like TensorFlow. However, you may need to add additional features such as data parallelism and model serving.
Keras runs on top of TensorFlow, which means that it uses TensorFlow's underlying infrastructure for computations, while providing a simpler and more intuitive API for users.
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