This page requires that JavaScript be enabled in your browser.
Learn how »
Building Applications with the Neural Network Repository
Tuseeta Banerjee and Matteo Salvarezza
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.
Thanks for your feedback.
Channels: Virtual Events
701 videos match your search.
|
Tuseeta Banerjee |
|
Tuseeta Banerjee |
|
Tuseeta Banerjee |
|
Markus van Almsick |
|
Carlo Giacometti |
|
Timothée Verdier |
|
Jerome Louradour |
|
Tuseeta Banerjee |
|
Tuseeta Banerjee |
|
Mario Veruete Ce cours porte sur les techniques de résolution d'équations différentielles ordinaires (EDO) et d'équations différentielles algébriques (EDA) en utilisant Wolfram Language. |
|
Ce cours porte sur les techniques de résolution d'équations différentielles ordinaires (EDO) et d'équations différentielles algébriques (EDA) en utilisant Wolfram Language. |
|
|
|
|
|
|
|
|
|
|
|
The first part of Introduction to Image Processing will teach you how to use the Wolfram Language to import images, control brightness, colour and contrast, and proceed histogram operations. |
|
|
|
The second part of Introduction to Image Processing will teach you how to use the Wolfram Language for segmentation and colour. |
|
|