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…
artificial intelligence
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…
Since Data Science was proposed as the sexiest job of the 21th century in 2012, a lot of people from all kind if different fields started to move to data science or related machine learning roles. Solving complex problems with…
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…
This is the last post in the series about machine learning in practice. This time the post will be about productionizing machine learning models. I want to share my experience from several production machine learning systems and show how it…
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…