Hello and welcome to BatchFlow tutorials!

These tutorials are intended to help you obtain a good working knowledge of how to use BatchFlow library. Start slow without a rush and soon you'll be able to create flexible machine learning pipelines.

1. Batch operations - a short guide on how to obtain a batch flow.
2. Pipeline operations - pipelines how to.
3. Train a ready to use TensorFlow model. A fast intro into how to create and train ready to use models like ResNet, VGG and many others.
4. Train a ready to use PyTorch model. A fast intro into how to create and train ready to use models like ResNet, VGG and many others.
5. Linear models as an example - a longer immersion into models training and configuration.
6. Creating your own model. This tutorial shows how to create and train a simple model to recognize the digits from MNIST database.
7. Working with images. How to augment images with ImagesBatch actions.

Also you might be interested in the experiments.

For more advanced techniques on how to use the BatchFlow take a look at cardio and radio frameworks.