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MXNet is an open-source deep learning framework that is used to develop machine learning models for various applications such as computer vision, natural language processing, speech recognition, and more. It was developed by Apache and is designed for both beginners and experienced developers to easily create, train and deploy deep learning models. The framework supports both imperative and symbolic programming, making it flexible and suitable for a wide range of tasks. In this context, let's explore the features, use cases, use steps, and technical details of MXNet.
Here are some general steps for using MXNet:
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