Tutorial

This tutorial introduces the basic concepts of nuts-ml and provides examples of its usage. It is roughly organized in the order of the canonical pipeline

A complete example on how to create a pipeline for the training of a classifier on CIFAR-10 data can be found in the last Section CIFAR-10 Example.

• Reading data samples
  • Basics
  • TXT files
  • CSV files
  • NumPy arrays
  • Web files
  • Label directories
• Splitting and stratifying
  • Splitting data
  • Stratifying data
  • Splitting and stratifying
• Loading images
• Viewing Images
• Transforming images
• Augmenting images
• Building Batches
• Training networks
• Logging data
• Plotting data
• Configuration files
• CIFAR-10 Example
  • Task
  • Network
  • Loading data
  • Training
  • Validation
  • Evaluation
  • Check-pointing
  • Reading
  • Writing
  • Prediction
  • Code