Link to other related lessons in introduction

Author: svenvanderburg

index.md

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 This lesson gives an introduction to artificial neural networks. We begin by an outlining an important application of machine learning in healthcare: the development of algorithms for classification of chest X-ray images. During the lesson we explore how to prepare and visualise data for algorithm development, and construct a neural net that is able to classify disease.
 
+### Other related lessons
+#### Introduction to deep learning
+The [Introduction to to deep learning lesson](https://carpentries-incubator.github.io/deep-learning-intro/)
+is a more general introduction to deep learning, applying deep learning to different domains.
+Whereas this lesson focuses on the application of deep learning on medical images. 
+If you are interested in other domains than medical images you could choose to follow that lesson.
+
+#### Introduction to machine learning in Python with scikit-learn
+The [Introduction to machine learning in Python with scikit-learn lesson](https://esciencecenter-digital-skills.github.io/scikit-learn-mooc/)
+introduces practical machine learning using Python. It might be a good lesson to follow in preparation for this lesson,
+since basic knowledge of machine learning and Python programming skills are required for this lesson.
+
+
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