Apache MXNet Tutorial

Apache MXNet Tutorial – Learn MXNet to work on Deep Neural Networks with detailed examples and downloadable materials.

What is Apache MXNet ?

Apache MXNet is a Deep Learning framework. It helps in training and deploying deep neural networks efficiently. The library is so lightweight and it offers flexibility with its support to both imperative and symbolic programming.

MXNet is an Artificial Intelligence Engine like TensorFlow, Caffe, Torch, Theano, CNTK, Keras etc. It is an opensource and freeware from Apache Software Foundation.

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Features of MXNet

Following are some of the interesting features of MXNet :


Scalability is one of the design aspects of MXNet. It is scalable to multiple GPUs and multiple machines.


MXNet offers simple syntax and support for multiple languages (Python, C++, Scala, Julia, Matlab, Perl and JavaScript).


MXNet can build highly efficient models for smart phones and IoT applications. And MXNet could run on Raspberry Pi.


MXNet can achieve near linear scaling of efficiency with number of GPUs (nearly across hundreds).

Model Support

It provides state of the art Model support for CNN (Convolutional Neural Networks) anLearn Apache MXNetd LSTM (Long Short-Term Memory).


There is an open and vibrant community from industry and enthusiasts.