Deep learning with Apache MXNet on Cloudera Data Science Workbench

With the abundance of deep learning frameworks available today, it can be difficult to know what to choose for any particular application. Given the contrasting strengths and weaknesses of these frameworks, the ability to work with and switch between more than one is particularly important. Recent Cloudera blogs have shown how examples of applying deep learning on the Cloudera ecosystem using popular frameworks Deeplearning4j, BigDL, and Keras+TensorFlow. Read more The post Deep learning with Apache MXNet on Cloudera Data Science Workbench appeared first on Cloudera Engineering Blog.

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CDH,Cloudera Data Science Workbench,Data Science,Apache MXNet,CDSW,convolutional networks,Convolutional Neural Networks,data,data analysis,Deep Learning,gpu,image recognition,keras,machine learning,Neural Networks,PyTorch,tensorflow,Training,transfer learning