Essays about: "Distributed deep learning architecture"
Showing result 6 - 10 of 13 essays containing the words Distributed deep learning architecture.
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6. Random projections in a distributed environment for privacy-preserved deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. READ MORE
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7. Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. READ MORE
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8. Investigation and Implementation of Federation Mechanisms of SVP
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : The development of AI application on the edge devices require integrated data, algorithms, and tools. Big companies like Google and Apple have integrated data, algorithms, and tools for building end to end systems with optimized and dedicated hardware for deep learning applications. READ MORE
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9. Deep learning to classify driver sleepiness from electrophysiological data
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Driver sleepiness is a cause for crashes and it is estimated that 3.9 to 33 % of all crashes might be related to sleepiness at the wheel. It is desirable to get an objective measurement of driver sleepiness for reduced sensitivity to subjective variations. READ MORE
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10. Federated Averaging Deep Q-NetworkA Distributed Deep Reinforcement Learning Algorithm
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : In the telecom sector, there is a huge amount of rich data generated every day. This trend will increase with the launch of 5G networks. Telco companies are interested in analyzing their data to shape and improve their core businesses. READ MORE
