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In this article, an implementation and explanation is given for an Elman RNN.
Suppose you have many documents and you would like to find all names in the documents. Then one option is to use an Elman RNN! This RNN is originally invented by Jeffrey Elman . The Elman RNN reads word (and context) by word (and context) and tries to predict the label (either O if the word is not a name, B-NAME if the word is the beginning of a name and I-NAME if…Continue
MLPs (Multi-Layer Perceptrons) are great for many classification and regression tasks, but it is hard for MLPs to do classification and regression on sequences. In this code tutorial, a GRU is implemented in TensorFlow.
A sequence is an ordered set of items and sequences appear everywhere. In the stock market, the closing price is a sequence. Here, time is the ordering. In sentences, words follow a certain ordering. Therefore, sentences can be viewed as…Continue
By Kevin Jacobs, Data Blogger (original article: https://www.data-blogger.com/2016/08/13/apache-flink-the-next-distributed-data-processing-revolution/).
Disclaimer: The results are valid only in the case when network attached storage is used in the computing cluster.
The amount of data is growing significantly over the past few years. It is not…Continue