Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications.
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Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications.
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TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet are the seven most popular frameworks for developing AI applications.
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