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Hyperparameter Optimization of MLPerf Training with Habana Labs: SigOpt Summit 2021

11/16/2021
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algorithm, api, cloud computing, deep learning, implementation, machine learning, machine learning tools, ml, reason, recommendation systems, research, software , twitter, box plot, control flow, electric battery, flowchart, fox broadcasting company, hyperparameter (machine learning), hyperparameter optimization, interface (computing), loss function, mathematical optimization, number, patch (computing), workload, mlperf, machine learning platform, hpo
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Faster, Better Training for Recommendation Systems

11/16/2021
Views 295
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computer, engine, facebook, gender, information, intel, library, machine learning, machine learning tools, ml, recommendation systems, scalability, simulation, smartphone, technology, amazon (company), bottleneck (production), byte, cartesian coordinate system, exercise, gigabyte, huawei, international system of units, loader (computing), mathematical optimization, overhead (computing), recommender system, mlperf, machine learning platform, dlrm, recsys, exhaust system
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MLPerf & PyTorch | PyTorch Developer Day 2020

11/12/2020
Views 434
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ai, artificial intelligence, central processing unit, computer hardware, deep learning, email, facebook, google, graphics processing unit, knowledge, machine learning, ml, nvidia, pytorch, research, tensor, utility, attention, benchmark (computing), bit, convolution, data parallelism, global positioning system, parallel computing, program optimization, prototype, python (programming language), selene, steam (service), supercomputer, throughput, front end and back end, mlperf, ptd2, pytorch 1.7, pytorch developer day, christian sarofeen, deep learning bechmark
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Peter Mattson - MLPerf: Driving Innovation by Measuring Performance

02/27/2020
Views 661
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ai, algorithm, artificial intelligence, best practice, cloud computing, computer, computer vision, experiment, friction, google, inference, innovation, learning, machine learning, ml conference, product lifecycle, risk, software , source code, space, speech, speech recognition, tensorflow, accent (sociolinguistics), accuracy and precision, application software, image segmentation, linguistics, stack (abstract data type), variance, matroid, scaledml, scaledml2020, technical conference, mlperf, peter mattson
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