How to use additional information from labels to train a plausibility mode Working with predictive deep learning models in practice often comes with the question how far we can trust the predictions of that model. While there are several frameworks…
While the most articles about deep learning are focusing at the modeling part, there are also few about how to deploy such models to production. Some of them (especially on towardsdatascience) say “production”, but they often simply use the unoptimized…
When working with pretrained deep learning models in TensorFlow the input tensor is often fixed and changing a tensor from the beginning of the graph is by design painful. In this post I want to show how to replace tensors…
In this post I would like to show how to use a pre-trained state-of-the-art model for image classification for your custom data. For this we utilize transfer learning and the recent efficientnet model from Google. An example for the standford…
Recently, I wrote a post about the tools to use to deploy deep learning models into production depending on the workload. In this post I will show in detail how to deploy a CNN (EfficientNet) into production with tensorflow serve,…
After weeks of training and optimizing a neural net at some point it might be ready for production. Most deep learning projects never reach this point and for the rest it’s time to think about frameworks and technology stack. In…