This page requires that JavaScript be enabled in your browser.
Learn how »
JSSAC 2017: Publishing & Distributing with the New Resource System
Bob Sandheinrich
Wolfram Repositories typically have websites, functions for integrating with the Wolfram Language and repository-specific metadata. In this presentation, Bob Sandheinrich, Software Engineer at Wolfram Research, shows current repositories such as Data Repository, Neural Net Repository, as well as upcoming repositories.
Thanks for your feedback.
Channels: Virtual Events
701 videos match your search.
 |
This event features demos and tutorials using Wolfram technologies for 2D and 3D image analysis and computer vision. Wolfram's integrated workflow combines high level image processing and machine learning in ... |
 |
Галина Михалкина |
 |
Олег Игоревич Маричев |
 |
Кевин Дейли |
 |
Алексей Викторович Порубов |
 |
Андрей Александрович Кротких |
 |
Галина Михалкина |
 |
Кевин Дейли |
 |
Микаел Эгибян |
 |
Валериян Гайнизаманович Муфтеев |
 |
Learn about the highly automated machine learning framework in the Wolfram Language, including task-oriented functions that can process numeric data, text, images and more. Examples include image search and classification, ... |
 |
The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. Learn ... |
 |
Learn about recurrent neural nets and why they are interesting. Find out how you can work with recurrent nets using the neural network framework in the Wolfram Language. See a ... |
 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
