The `cntk.io.StreamDefs` in Python is a module that allows users to define streams of data in the CNTK (Microsoft Cognitive Toolkit) library. It provides a convenient way to specify the features and labels of the data that will be used for training or evaluation in a deep learning model. With `StreamDefs`, users can define various types of data streams, such as dense features, sparse features, and label streams, with different names and shapes. This module is particularly useful when working with large datasets where it is important to efficiently load and preprocess the data for machine learning tasks.
Python StreamDefs - 30 examples found. These are the top rated real world Python examples of cntk.io.StreamDefs extracted from open source projects. You can rate examples to help us improve the quality of examples.