Administrative information

Title	Batch Processing
Duration	60 min
Module	B
Lesson Type	Tutorial
Focus	Technical - Deep Learning
Topic	Batch processing

Keywords

batch processing,back propagation,

Learning Goals

Understand mechanisms behind batch processing and back propagation
Learn batch processing by modifying existing Python code

Expected Preparation

Learning Events to be Completed Before

Obligatory for Students

None.

Optional for Students

None.

References and background for students:

None.

Recommended for Teachers

None.

Lesson Materials

Notebook

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

The tutorial involves finishing code that apply variations of Gradient Descent on data. Students program in python and are provided with data to show the (dis-)advantages of different batching strategies. Programming should complete in about an hour.

Outline

Instructors can choose to let students work individually or in groups on the practical notebook for the entire class (60 mins) or spend time discussing the results immediately in class.

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities