Nov 19, 2015 · We introduce SparkNet, a framework for training deep networks in Spark. Our implementation includes a convenient interface for reading data from ...
Training deep networks is a time-consuming process, with networks for ob- ject recognition often requiring multiple days to train. For this reason, lever-.
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We introduce SparkNet, a framework for training deep networks in Spark. Our implementation includes a convenient interface for reading data from Spark RDDs, a ...
Training deep networks is a time-consuming process, with networks for ob- ject recognition often requiring multiple days to train. For this reason, lever-.
This work introduces SparkNet, a framework for training deep networks in Spark using a simple parallelization scheme for stochastic gradient descent that ...
We introduce SparkNet, a framework for training deep networks in Spark. Our implementation includes a convenient interface for reading data from Spark RDDs, a ...
Dec 4, 2015 · Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet. Training deep neural nets can take precious time and resources.
Dec 16, 2015 · ... deep learning systems. We introduce SparkNet, a framework for training deep networks in Spark. Our implementation includes a convenient ...
Jun 21, 2016 · I am using deep learning to do image recognition on a large data set with 100 caterogies. (compare to the size of cifar-100) I am now tuning the ...
Feb 19, 2018 · SparkNet implements a scalable, distributed algorithm to train deep neural networks that can be applied to existing batch processing ...