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Building and Training Basic Neural Networks

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 how to do this in steps, along with examples of logistic regression and basic image recognition.

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Channels: Virtual Events

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701 videos match your search.
30 | Rearranging Lists8:15
31 | Parts of Lists7:28
32 | Patterns 7:45
33 | Expressions and Their Structure 9:15
34 | Associations7:52
35 | Natural Language Understanding5:48
36 | Creating Websites and Apps7:40
37 | Layout and Display5:09
38 | Assigning Names to Things6:54
39 | Immediate and Delayed Values6:14
3D Printing4:17
See new capabilities for directly printing 3D models on standard printers or through online printing services. Print exactly the model you want, using the vast collection of curated models and ...
40 | Define Your Own Functions8:33
41 | More about Patterns8:26
42 | String Patterns and Templates8:18
43 | Storing Things6:38
44 | Importing and Exporting7:00
45 | Datasets9:22
46 | Writing Good Code9:49
47 | Debugging Your Code7:19
A New Way of Learning and Sharing: CDF in Education51:32
Yu-Sung Chang
The Wolfram Computable Document Format (CDF) provides a new streamlined way for creating dynamic educational content. This course from the Wolfram Mathematica Virtual Conference 2012 shows how to use CDF for ...