Combining Keras With Apache MXNet

Lai Wei, et al, show how to build a neural network in Keras 2 using MXNet as the engine:

Distributed training with Keras 2 and MXNet

This article shows how to install Keras-MXNet and demonstrates how to train a CNN and an RNN. If you tried distributed training with other deep learning engines before, you know that it can be tedious and difficult. Let us show you what it’s like now, with Keras-MXNet.

Installation is only a few steps

  1. Deploy an AWS Deep Learning AMI

  2. Install Keras-MXNet

  3. Configure Keras-MXNet

The Deep Learning AMI is already set up for trial, so it should be easy to follow along.

Related Posts

Building an Image Classifier with PyTorch

Rogier van der Geer shows how you can use PyTorch to build out a Convolutional Neural Network for image classification: The tool that we are going to use to make a classifier is called a convolutional neural network, or CNN. You can find a great explanation of what these are right here on wikipedia. But we […]

Read More

xgboost and Small Numbers of Subtrees

John Mount covers an interesting issue you can run into when using xgboost: While reading Dr. Nina Zumel’s excellent note on bias in common ensemble methods, I ran the examples to see the effects she described (and I think it is very important that she is establishing the issue, prior to discussing mitigation).In doing that I ran into one more […]

Read More

Categories

May 2018
MTWTFSS
« Apr Jun »
 123456
78910111213
14151617181920
21222324252627
28293031