The Lambda
Deep Learning Blog

Published on January 25, 2019 by Stephen Balaban

These slides are from my talk at Rework Deep Learning Summit 2019.

Published on January 15, 2019 by Chuan Li

Last, tyear, Fast.ai won the first ImageNet training cost challenge as part of the DAWN benchmark. Their customized ResNet50 takes 3.27 hours to reach 93% ...

Published on January 7, 2019 by Chuan Li

DAWNBench recently updated its leaderboard. Among the impressive entries from top-class research institutes and AI Startups, perhaps the biggest leap was ...

Published on January 6, 2019 by Chuan Li

Object Detection using Single Shot MultiBox Detector The problem The task of object detection is to identify "what" objects are inside of an image and "where" ...

Published on December 26, 2018 by Michael Balaban

Titan RTX vs. 2080 Ti vs. 1080 Ti vs. Titan Xp vs. Titan V vs. Tesla V100. For this post, Lambda engineers benchmarked the Titan RTX's deep learning ...

Published on November 28, 2018 by Stephen Balaban

Lambda is a diamond sponsor this year at NeurIPS. (The conference recently changed its name from NIPS to NeurIPS.) We have three extra registrations for the ...

Published on November 28, 2018 by Stephen Balaban

I'm not a human. Or at least that's what Google thought when I failed to fill out the reCAPTCHA properly for the third time. What exactly qualifies as a ...

Published on November 6, 2018 by Stephen Balaban

Many deep learning teams have software that depends on Ubuntu 16.04 (and not 18.04). However, the installation process for 16.04 has some quirks with the ...

Published on October 12, 2018 by Stephen Balaban

We open sourced the benchmarking code we use at Lambda Labs so that anybody can reproduce the benchmarks that we publish or run their own. We encourage people ...

Published on October 8, 2018 by Stephen Balaban

At Lambda, we're often asked "what's the best GPU for deep learning?" In this post and accompanying white paper, we evaluate the NVIDIA RTX 2080 Ti, RTX 2080, ...

Published on October 7, 2018 by Chuan Li

SegNet. Image source: https://mi.eng.cam.ac.uk/projects/segnet/ The problem Image segmentation is the problem of assigning each pixel in an image a class ...

Published on September 26, 2018 by Chuan Li

Hyper-parameter search: Grid v.s. Random. Image source: [Bergstra and Bengio 2012] In order to improve the performance of a neural network, it is often ...

Published on September 21, 2018 by Chuan Li

Images from Stanford Dogs Dataset: http://vision.stanford.edu/aditya86/ImageNetDogs/ Our last tutorial described how to do basic image classification with ...

Published on September 13, 2018 by Chuan Li

T-SNE embedding of CIFAR10. Image source: http://cs231n.github.io/classification/ Welcome to our Beginner's Demo! We will walk you through the steps of ...