Wie interagiert man in einer produktiven Umgebung mit Machine Learning Modellen? Im zweiten Teil unserer 4-teiligen Blogserie zum Thema Car Model Classification lernt ihr, wie ihr ein TensorFlow-Modell zur Bilderkennung...continue reading.
In this 4-part blog series on car model classification, we want to illustrate how an end-to-end deep learning project can be implemented. In the first part, we will show how...continue reading.
Could you #BeatTheAI? We let deep learning have a go at Super Mario’s first level and compared it to human players. Here we explain how we did it! Der Beitrag...continue reading.
In this post we will return to the Pitchfork music data and use recurrent neural networks (a “deep learning” technique) to automatically generate band names.The DataFor this analysis, we will...continue reading.
Building a scaleable Deep Learning Serving Environment for Keras models using NVIDIA TensorRT Server and Google Cloud
In a recent project at STATWORX, my team and I developed a large scale deep learning application for image classification using Keras and Tensorflow. After developing the model, we needed...continue reading.
A guest post by @MaxMaPichler, MSc student in the Group for Theoretical Ecology / UR Artificial neural networks, especially deep neural networks and (deep) convolutions neural networks, have become increasingly popular...continue reading.
There are couple of interesting findigns while I was trying to get maximum reward for the hooper. 1- Adam optimizer works much better than gradient descent. The following plots shows...continue reading.