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…
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…
Understanding customer intent by clicks can improve customer journeys and enhance the overall user experience in eCommerce. An understanding of individual customers allows to customize the online experience in several ways. For example, it is possible to show them additional…
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…
There is a lot of confusion about return_state in Keras. What does ist actually return and how can we use it for stacking RNNs or encoder/decoder models. Hopefully this post makes it a bit clearer. Cell state vs Hidden state…
In this post I will show how to use styleGANs on larger images to create customizable images of watches. Additionally, I show how to apply styleGAN on custom data.
In 2017 and 2018 GANs have significantly contributed to the visibility of artificial intelligence. Impressive images generated by GANs have been published and one was even sold for 432 500 $ in an Christies auction. The good thing with GANs…
Besides computer vision, artificial neural networks (ANNs) are also very popular in natural language processing. Automatic translation or sentiment analysis of reviews are well known areas, where (recurrent) neural networks are used a lot. Around natural language understanding, there are…
After getting good results with the Random Forest algorithm in the last post, we will take a look at feed forward networks, which are artificial neural networks. Artificial neural networks consist of many artificial neurons, which are based on the…