The Lambda
Deep Learning Blog

Published on June 5, 2019 by Chuan Li

This tutorial shows you how to perform transfer learning using TensorFlow 2.0. We will cover:

Published on May 31, 2019 by Stephen Balaban

This presentation is a high-level overview of the different types of training regimes that you'll encounter as you move from single GPU to multi GPU to multi ...

Published on March 12, 2019 by Michael Balaban

In this post, Lambda Labs benchmarks the Titan V's Deep Learning / Machine Learning performance and compares it to other commonly used GPUs. We use the Titan V ...

Published on March 4, 2019 by Stephen Balaban

by Chuan Li, PhD

Published on February 17, 2019 by Stephen Balaban

CPU, GPU, and I/O utilization monitoring using tmux, htop, iotop, and nvidia-smi. This stress test is running on a Lambda GPU Cloud 4x GPU instance. Often ...

Published on February 16, 2019 by Stephen Balaban

Update June 5th 2020: OpenAI has announced a successor to GPT-2 in a newly published paper. Checkout our GPT-3 model overview.

Published on February 11, 2019 by Chuan Li

Deep Learning requires GPUs, which are very expensive to rent in the cloud. In this post, we compare the cost of buying vs. renting a cloud GPU server. We use ...

Published on February 10, 2019 by Stephen Balaban

You were probably thinking that this was going to be a long post. You're in luck. All you need to do is to install Ubuntu 18.04 and then Lambda Stack. Here's ...

Published on February 10, 2019 by Stephen Balaban

Or, how Lambda Stack + Lambda Stack Dockerfiles = GPU accelerated deep learning containers

Published on February 8, 2019 by Chuan Li

This tutorial is about making a character-based text generator using a simple two-layer LSTM. It will walk you through the data preparation and the network ...

Published on February 6, 2019 by Chuan Li

BERT is Google's pre-training language representations which obtained the state-of-the-art results on a wide range of Natural Language Processing tasks. ...

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" ...