These days we have many big data news. Everybody is almost talking about bid data and use of Deep Learning for its Analysis. What is most used Deep Learning or Deep Neural Network Algorithm for big Data?
Hi Ali,
It depends on the task at hand and on the framework. For example, you can build convolutional neural networks using BigDL for various tasks, which should include news data. I suggest you take a look in here:
https://software.intel.com/en-us/articles/bigdl-distributed-deep-learning-on-apache-spark
I am not aware of the specific task that you are working on, but probably a RNN model should be relevant (it is available on BigDL):
https://github.com/intel-analytics/BigDL/tree/master/spark/dl/src/main/scala/com/intel/analytics/bigdl/models/rnn
Best Regards,
Heitor
Hi Ali,
It depends on the task at hand and on the framework. For example, you can build convolutional neural networks using BigDL for various tasks, which should include news data. I suggest you take a look in here:
https://software.intel.com/en-us/articles/bigdl-distributed-deep-learning-on-apache-spark
I am not aware of the specific task that you are working on, but probably a RNN model should be relevant (it is available on BigDL):
https://github.com/intel-analytics/BigDL/tree/master/spark/dl/src/main/scala/com/intel/analytics/bigdl/models/rnn
Best Regards,
Heitor
Sorry Deep learning is layered composition of NN
Deep learning is the fastest-growing field in machine learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation ....
Among other "Deep" algorithms are two new ones: (1) Bipropagation and (2) Border Pairs Method. You can find more about it here on my RG page. They are both good for general classification purposes.
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