Is fractal interpolation effective to recover missing data?
Introduction Unfortunately, it is a common occurrence that the data a data analyst has is incomplete. This missing data has to be filled out a certain way and then the…
GPU utilization with neural networks
Nowadays GPUs are widely used for neural networks training and inference. It’s clear that GPUs are faster than CPU, but how much and do they do their best on such tasks.
Playing with cuda block size
Recently I was working on algorithm implementation using NVIDIA CUDA. For testing reasons I was using a tiny-toy data sample to check whether the algorithm worked as expected. I was…
HW selection benchmark for deep learning
Our company is doing active research in the area of deep learning. To be a bit more specific – we are building very wide embedding layers. We need to be able to perform an interactive research and we need to be able to train a lot of networks on-demand.
