Building Blocks for Deep Learning in the Wolfram Language
54mAdvanced2024-01-02
Authors
Wolfram Research
Course details
This course explores how to construct neural networks in the Wolfram Language. 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. Discover how to build feed-forward networks, and learn about recurrent neural nets and why they are interesting.
Skills covered
Computational DesignNeural Networks and Deep LearningAECArtificial Intelligence (AI)Product and ManufacturingOne-Off
Concepts
Building and Training Basic Neural Networks
- Building and training basic neural networks
Recurrent Neural Networks
- Recurrent neural networks