{"id":28351,"date":"2016-08-08T20:24:10","date_gmt":"2016-08-08T17:24:10","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=28351"},"modified":"2021-03-05T00:11:50","modified_gmt":"2021-03-04T21:11:50","slug":"distributed-tensorflow-and-classification-of-time-series-data-using-neural-networks","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/distributed-tensorflow-and-classification-of-time-series-data-using-neural-networks\/","title":{"rendered":"Distributed TensorFlow and Classification of Time Series Data Using Neural Networks"},"content":{"rendered":"

\"munich_tensorflow_meetup-v11\"<\/a><\/p>\n

While the conventional methods may lag behind in terms of accuracy, convolutional neural networks come to the rescue. At the recent TensorFlow meetup in Munich<\/a>, the speakers highlighted the potential of deep learning tools for classifying time series data, as well as the perks of training models using distributed TensorFlow.<\/p>\n

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