Keras is an open-source neural network library written in Python, providing a high-level interface for building deep learning models with a simple and intuitive API, allowing users to easily implement complex algorithms and experiment with different architectures.
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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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