Deep Learning Framework using Big Data for tabular data (i.e. not image or sequence or time series data)
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Deep Learning framework provided seems to support input layers pertaining to image and sequence/time-series data only. Is the understanding correct? Are there means to use for tabular non-sequence big data as input (via datastore tall arrays or any other equivalent means?) and appropriate intermediate layers and output layer? For instance, have a data store (/tall array) as input layer, followed by leakyReluLayers, and a regression layer output.
Vishal Bhutani on 11 Sep 2018
By my understanding you want to create a deep learning framework for non-sequence or non-image data, similar question related to this has been asked earlier. I am attaching it’s link hope it helps: