Smaller companies and researchers do usually not have the money to invest thousands of dollars or euros into specialized deep learning hardware. You might think cloud instances like AWS EC2 or Google compute are the straightforward cheap solution, but if…
deep learning
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…
In this post I will show how to combine features from natural language processing with traditional features (meta data) in one single model in keras (end-to-end learning). The solution is a multiple inputs model. Problem definition Scientific data sets are…
In the last months I was working on a deep learning project. The goal was to dig into Tensorflow and deep learning in gerneral. For this purpose IĀ re-implemented a paper from January 2016 called convolutional pose machinesĀ , which uses deep…