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Building Applications with the Neural Network Repository

Learn how to build applications with models from the Wolfram Neural Net Repository and get an overview of some of the newest models available for classification, feature extraction, image processing, speech, audio and more. See applications by students from Wolfram summer programs and observe real-time examples of model training with data. A final real-world example applies computer vision tasks to digital pathology for the purposes of cancer diagnosis.

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Channels: Virtual Events

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701 videos match your search.
Mads (Mohammad) Bahrami
Mads (Mohammad) Bahrami
In this video, we review concepts of quantum basis and quantum state (in a finite-dimensional Hilbert space) and how to implement them in the Wolfram Quantum Framework. We also discuss the basis transformation. For more info and examples, please visit ...
Mads (Mohammad) Bahrami
In this video, we review the quantum measurement operator and quantum measurement in the Wolfram Quantum Framework. We discuss the implementation of both projective measurements and also POVMs. For more ...
Mads (Mohammad) Bahrami
In this video, we show how one can construct a quantum circuit using the Wolfram Quantum Framework. We discuss the implementation of some examples such as quantum teleportation. For more ...
Mads (Mohammad) Bahrami
In this video, we review our multi-part discussion of the Wolfram Quantum Framework and discuss how it works, how to define relevant objects (such as a quantum circuit) and how ...
This session features a fast-paced overview by Jon McLoone showing new functionality and many examples from the new version.
This session provides an overview of the new mathematics features in 12.3, with in-depth presentations on symbolic optimization and solving PDEs with the Wolfram Language.
This session covers new functionality in video, image and audio computation plus a presentation on new automated machine learning capabilities.
This session covers new and enhanced functionality for geographics, visualization, graphs, dates and time.