MachineLearning   50135

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[1810.01993] Exascale Deep Learning for Climate Analytics
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe improvements to the software frameworks, input pipeline, and the network training algorithms necessary to efficiently scale deep learning on the Piz Daint and Summit systems. The Tiramisu network scales to 5300 P100 GPUs with a sustained throughput of 21.0 PF/s and parallel efficiency of 79.0%. DeepLabv3+ scales up to 27360 V100 GPUs with a sustained throughput of 325.8 PF/s and a parallel efficiency of 90.7% in single precision. By taking advantage of the FP16 Tensor Cores, a half-precision version of the DeepLabv3+ network achieves a peak and sustained throughput of 1.13 EF/s and 999.0 PF/s respectively.
machinelearning  DeepLearning 
3 hours ago by researchknowledge
[D] ML is losing some of its luster for me. How do you like your ML career? : MachineLearning
Soliciting thoughts on ML careers (in industry or academia), especially in light of machine learning and deep learning hype. I work as an applied...
jobs  machinelearning 
4 hours ago by colindocherty
guess-js/guess: Libraries & tools for enabling Machine Learning driven user-experiences on the web
GA のデータに基づく機械学習によってユーザが次に見そうなページを予測して先読みする。
googleanalytics  performance  prefetch  machinelearning 
13 hours ago by yoshiagi
Logical Clocks AB
tl;dr When you train deep learning models with lots of high quality training data, you can beat state-of-the-art prediction models in a wide array of domains (image classification, voice recognition, and machine translation). Distributed filesystems are becoming increasingly indispensable as a central store for training data, logs, model serving, and checkpoints. HopsFS is a great choice, as it has native support for the main Python frameworks for Data Science: Pandas, TensorFlow/Keras, PySpark, and Arrow.
filesystem  machinelearning 
16 hours ago by euler
Machine Learning is Fun Part 8: How to Intentionally Trick Neural Networks
This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! Almost as long as programmers have been writing computer programs…
17 hours ago by neckro
Your First Machine Learning Project in Python Step-By-Step
In this step-by-step tutorial you will:
- Download and install Python SciPy and get the most useful package for machine learning in Python.
- Load a dataset and understand it’s structure using statistical summaries and data visualization.
- Create 6 machine learning models, pick the best and build confidence that the accuracy is reliable.
machinelearning  python  tutorial 
yesterday by tero

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