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Stochastic gradient descent (SGD) is a popular technique for large-scale optimization problems in machine learning. In order to parallelize SGD, minibatch training needs to be employed to reduce the communication cost. However, an increase in minibatch size typically decreases the rate of convergenc ...

This hands-on tutorial will work through the pipeline of developing, training and deploying deep learning applications by using MXNet. Multiple applications including recommendation, word embedding will be covered. The participants will learn how to write a deep learning program in a few lines of co ...