Pervasive Label Errors in ML Datasets Destabilize Benchmarks
To our surprise, label errors are pervasive across 10 popular benchmark test sets used in most machine learning research, destabilizing benchmarks.
A collection of 4 posts
To our surprise, label errors are pervasive across 10 popular benchmark test sets used in most machine learning research, destabilizing benchmarks.
We already know the best performance/cost GPUs for state-of-the-art deep learning and computer vision are RTX GPUs. So, which RTX GPU should you use? To help you decide, I benchmark the three premier GPUs: 2080 ti non-blower, 2080 ti blower,...
This is short post to explain the impact that GPU positioning can have on training time and suggest how to position your GPUs for better performance when you mix blower-style and non-blower GPUs. Consider a deep learning workstation with the...
The Benchmarking Keras PyTorch GitHub project benchmarks every pre-trained model in PyTorch and Keras (Tensorflow). All benchmarks are reproducible.