fastai simplifies training fast and accurate neural nets using modern best practices.
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fastai simplifies training fast and accurate neural nets using modern best practices.
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Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras
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TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
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The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
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Chainer is a Python-based deep learning framework aiming at flexibility.
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Theano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
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Apache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
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Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
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