Building and Training Basic Neural Networks
- Video Lesson
- 28 min
- Download Lesson Notebook
- Intermediate
Estimated Time: 28 min
Course Level: Intermediate
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 (available in Mathematica and Wolfram|One)
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
