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Happy 2020!

Posted on December 31, 2019October 7, 2020 by admin

We wish you a year without overfitting and with convergence of the gradient to generalized solution.

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our main decision was based on the choice: to go with K80 and AWS or to buy our own hardware. TitanX cost is $1200 and a good machine to go with it would come up to about $2500.| AWS P2 cost is $0.9 per hour. If we take into account electricity prices data deaplearning but nevertheless it still does not kill the interactivity. Note HW comparison if we want to be flexible and to be able to train one network at a time one day and dozens on another day deeplearning OpenAI selection if the difference would be bigger - we would see it as a problem. Thus eventually cuda hackathon events Vinnytsia gpu segmentation SQL we will get to a break even at about 3000 hours. And this is lot AI NVIDIA Hardware benchmark MachineLearning meetup fractals missing values Thus properly configured Jupiter should solve most of it (we are currently working on it). Note also that that we are training neural networks on big data sets Kenshoo deep learning neural networks anomaly detection fun social python

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