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Exploring the Neural Network Framework from Building to Training

This overview showcases the easy-to-use framework available in the Wolfram Language to build, modify, train and deploy neural networks.

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Channels: Virtual Events

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701 videos match your search.
19 | Associations2:57
19 | Dates and Times6:52
20 | Natural Language Input2:44
20 | Options7:48
21 | Graphs and Networks9:43
21 | Real-World Entities3:39
22 | Interpreters 1:49
22 | Machine Learning8:18
23 | Cloud Deployment 3:19
23 | More about Numbers8:57
24 | Making Documents3:33
24 | More Forms of Visualization6:42
25 | Managing Sessions3:15
25 | Ways to Apply Functions6:24
26 | External Connections2:36
26 | Pure Anonymous Functions6:13
27 | Applying Functions Repeatedly 9:07
28 | Tests and Conditionals7:42
29 | More about Pure Functions5:16
292 Formats and Counting: Importing and Exporting Data 14:45
Paul Wellin
This Wolfram Mathematica Virtual Conference 2011 course uses application-driven examples to show how straightforward it is to get data into and out of Mathematica using its Import and Export functionality.