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Importing and Exporting Neural Networks with ONNX

In this talk, we review the current state of the ONNX importer and exporter in Wolfram Language and show how to use their options and properties. With the help of a few models, we show how to import and export models from and to the popular deep learning frameworks (TensorFlow/PyTorch/Core ML). Finally, we discuss new feature expected in upcoming releases.

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1311 videos match your search.
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GraphData is an extensive curated database of simple graphs and their properties available in Mathematica as a built-in data paclet and in Wolfram|Alpha via natural language queries.
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Luc Barthelet
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Constructing interfaces with Dynamic, DynamicModule and Manipulate is nothing new, but those aren't the only Dynamic primitives available in Mathematica. In this talk, we'll identify and demonstrate some of the ...
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We all know that social networks like Twitter have changed the nature of human interaction. But what if models and logic were positioned as peers on a social network? We ...
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Continued fractions are an ideal subject for this proof-of-concept as they constitute a subset of mathematics that is historically rich, well-defined, and nontrivial, yet at the same time manageable in ...
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Eric Mjolsness
Collaborative projects have resulted in several Mathematica-implemented modeling languages aimed at general-purpose biological modeling, which is a useful and topical but an indefinitely expandable goal. We update previous work on ...
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Defined benefit pension plans are the predominant method of retirement compensation for state government employees. The presence of these plans, often heavily underfunded, has placed enormous pressure on state budgets.
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The Wolfram Language provides a rich framework for teaching scientific and technical concepts while at the same time illustrating programming methodology for testing and analyzing ideas. We will walk through ...