Sascha

I guess the problem is obvious and you probably experienced it yourself. You want to train a deep learning model and you want to take advantage of multiple GPUs, a TPU or even multiple workers for some extra speed or larger batch size. But of course you cannot (let’s say should not because I’ve seen it quite often 😅) block the usually shared hardware for debugging or even spend a ton of money on a paid cloud instance.Let me tell you, it is not important how many physical GPUs your system has but rather how many your…

Sascha Segan / PCMag: Nothing confirms phone (1) will not be available widely in the US and might not work well on some carriers, as it focuses on “home markets” in the UK and Europe — It looks like Americans and Canadians are getting ... nothing. — Carl Pei's buzzy phone firm … Sascha Segan / PCMag: Nothing confirms phone (1) will not be available widely in the US and might not work well on some carriers, as it focuses on “home markets” in the UK…

Multi-dimensional Fourier transformations in convolutional neural networksPhoto by Edz Norton on UnsplashConvolutional neural networks (CNNs) are widely spread these days. Regardless of their success, convolutions are inefficient. The sliding window requires many computations and limits the size of the kernel. At the same time, a small kernel, typically between to , limits the perceptive field and many layers are required to capture the global context of an input tensor (e.g. 2D images). The larger the image, the worse…