DAT255-2022: Deep learning engineering

Various material used in the course DAT255 at HVL. More information can be found on the course website: https://hvl.instructure.com/courses/18347.

Table of contents

Various

Mini-projects: Examples and other material related to the course mini projects

nnet_building_blocks: An introduction to the building blocks of neural networks (in PyTorch)

CNN_feature_extraction: Changing input representations and extracting learned representations from deep neural networks

Module 9: From prototype to production

Module 9.1: TensorFlow-crash_course: A very quick introduction to TensorFlow and Keras.

Module 9.2: TensorFlow_Extended: ML pipelines and TensorFlow Extended.