4 posts tagged with "pytorch"



  November 22, 2019     42min read

End to End Machine Learning: From Data Collection to Deployment 🚀

Learn how build an end to end machine learning application from scratch. To do this, we'll walk you through the process of collecting data, training a deep learning model, building a Dash application, putting everything in Docker and deploying to AWS. This post is a little bit longer than usual but the different parts are independant and reusable in other projects

  August 21, 2019     14min read

Automate the diagnosis of Knee Injuries 🏥 with Deep Learning part 3: Interpret models' predictions

In this last post, we will focus on interpretability to assess what the ACL tear detector we trained in the previous article actually learnt. To do this, we'll explore a popular interpretability technique called Class Activation Map (CAM), applied when using convolutional neural networks that have a special architecture

  July 14, 2019     15min read

Automate the diagnosis of Knee Injuries 🏥 with Deep Learning part 2: Building an ACL tear classifier

In this post, you'll learn how to use PyTorch to train an Anterior Cruciate Ligament (ACL) tear classifier that sucessfully detects these injuries from MRIs with a very high performance. We'll dive into the code and we'll go through various tips and tricks ranging from transfer learning to data augmentation, stacking and handling medical images