This page requires that JavaScript be enabled in your browser.
Learn how »
Mathematica 在中学数学中的若干应用
彭翕成博士 (华中师大人工智能教育学部) 曹洪洋 (常州九章教育科技有限公
讲述对 Mathematica 在中学数学应用中的一些思考,我们已经研究了大量的案例,开发了代码包,譬如能用于发现几何命题的代码包、几何神算等,希望能对数学教学和解题起到一定的帮助与推动。
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 ... |
|
|
|
|
|
|
|
|
|
|
|
|
|
|