skill track 06
Deep Learning
Introduction to Deep Learning.
Description
A series of notebooks to expand your deep learning knowledge. Working with Keras and TensorFlow, you will learn about neural networks, deep learning model workflows, and how to optimize your models.
By the end of these notebooks, you should feel more comfortable with:
▸The basics and terminology of Deep Learning
▸Using Keras to train and test models
Announcements
In this skill track, the notebooks build on each other. Therefore, complete them in the order given!
Requirements
- ▸You should have completed all previous skill tracks
- ▸Data is loaded automatically at the beginning of each notebook in Google Colab
- ▸Have a look at the theoretical basics before you start with the notebooks
Syllabus
Theoretical Basics
▶View Slide DeckReferences
MedMNIST v2: Jiancheng Yang et al. (2023), Scientific Data · Jiancheng Yang et al. (2021), IEEE ISBI