#DeepLearning is fun when you have loads of GPUs!

Here's a 256GB , 8 GPU cluster we will soon be testing as well.

#gpu #nvidia #research
#machinelearning
✴️ @AI_Python_EN

Check out our new #GAN work on translating images to unseen domains in the test time with few example images.

Live demo
http://bit.ly/2LyW4Y3

Project page
http://bit.ly/2HbcRLf

Paper
http://bit.ly/2Ly3VVX

Video
http://bit.ly/2Va86a3
#NVIDIA

✴️ @AI_Python_EN

Why 2019 is the year of Knowledge Graphs?
✔️#Knowledgegraph became a centerpiece of #Accentur and #Microsoft ’s toolkits.

✔️Knowledge graph lessons from Google, #Facebook, #eBay, #IBM.

✔️Graph algorithms and analytics by #Neo4j, #Nvidia and #AWS.

More about the why?
https://lnkd.in/g87BTrH

💥Great resources to get some hands-on experience:

✅ Implementing Knowledge Graphs in #Enterprises:
https://lnkd.in/ghisXMw

✅ How #Google’s Knowledge Graph Updates Itself:
https://lnkd.in/gayCpPw

✅ Extracting knowledge from knowledge graphs using #Facebook #Pytorch BigGraph.
https://lnkd.in/gHgj6AH

✅ The Data Fabric for #MachineLearning : #DeepLearning on Graphs. By Favio Vazquez
https://lnkd.in/gsCnTTM

✅ Why Knowledge Graphs Are Foundational to #ArtificialIntelligence
https://lnkd.in/g5WVARe

Absolutely essential for data scientists to upskill themselves, Knowledge Graphs are coming...
#datascience #AI

✴️ @AI_Python_EN

Very good news. Dataproc now lets you use NVIDIA GPUs to accelerate XGBoost in a Spark pipeline. This combination can speed up machine learning development and training up to 44x and reduce costs 14x when using XGBoost. With this kind of GPU acceleration for XGBoost, you can get better performance, speed, accuracy, and reduced TCO, plus an improved experience when deploying and training models. Spinning up elastic Spark and XGBoost clusters in Dataproc takes about 90 seconds.
https://gweb-cloudblog-publish.appspot.com/products/data-analytics/ml-with-xgboost-gets-faster-with-dataproc-on-gpus/amp/

#spark #machinelearning #xgboost #nvidia #gpu

❇️ @AI_Python_EN