Video Class
Building and Training Basic Neural Networks
Summary
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.
Featured Products & Technologies: Wolfram Language
You'll Learn To
- Convert different data types to tensors
- Use class encoders and decoders
- Work with different types of layers and connect the layers
- Specify loss layers
- Perform logistic classification using real-world data
- Train convolutional neural networks
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