Many recent deep learning frameworks such as Tensorflow, PyTorch, Theano or Torch are based on dense tensors. However, deep learning on non-tensor data structures is also interesting – especially for sparse, three-dimensional data. This article summarizes some of my experiences regarding deep learning on custom data structures in the mentioned libraries.
This blog series collects useful insights for working with Ubuntu. In this article, I describe how to avoid building problems when building Tensorflow on an NFS-mounted
$HOME directory and how to install CUDA 8.0 without a manual driver installation.
In this article, I discuss a simple Tensorflow operation implemented in C++. While the example mostly builds upon the official documentation, it includes trainable parameters and the gradient computation is implemented in C++, as well. As such, the example is slightly more complex compared to the simple
ZeroOut operation discussed in the documentation.