pytorch-widedeep is based on Google's Wide and Deep Algorithm, adjusted for multi-modal datasets. In general terms, pytorch-widedeep is a package to use deep learning with tabular data. In particular, ...
The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...
Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...
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