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Learning to Tackle Real-World Computer Vision Applications

Walk through the development of deep learning applications for the processing and analysis of images in the Wolfram Language. Real-world examples provide practical insights on how to effectively leverage neural networks in your code.

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Channels: Virtual Events

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701 videos match your search.
Session 1 Q&A6:52
07 | Colors and Styles7:23
08 | Basic Graphics Objects7:54
09 | Interactive Manipulation7:30
10 | Images5:22
11 | Strings and Text7:55
Session 2 Q&A13:00
12 | Sound8:32
13 | Arrays, or Lists of Lists6:59
14 | Coordinates and Graphics7:57
15 | The Scope of the
Wolfram Language7:54
16 | Real-World Data8:05
Session 3 Q&A10:44
Wolfram|Alpha in Your Classroom: Virtual Workshop for Educators39:58
This workshop showed off many exciting new Wolfram|Alpha features for students and teachers. Learn how to use Wolfram|Alpha to inspire authentic learning in your classroom with access to ...
17 | Units8:39
18 | Geocomputation6:23
19 | Dates and Times6:52
20 | Options7:48
21 | Graphs and Networks9:43
Wolfram Language One-Liners for Image Processing18:48
Identify pictures, detect people, classify images, read text, segment blobs, and more in just a single line of code. Using built-in data, even the most complicated tasks can be completed ...