Essays about: "8-bit"
Showing result 1 - 5 of 45 essays containing the word 8-bit.
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1. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE
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2. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE
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3. Investigation of 8-bit Floating-Point Formats for Machine Learning
University essay from Linköpings universitet/DatorteknikAbstract : Applying machine learning to various applications has gained significant momentum in recent years. However, the increasing complexity of networks introduces challenges such as a larger memory footprint and decreased throughput. This thesis aims to address these challenges by exploring the use of 8-bit floating-point numbers for machine learning. READ MORE
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4. Generating 8-Bit Sound Effects Using Interactive Evolution
University essay fromAbstract : Interactive evolution is explored and applied for the automatic generation of 8-bit sound effects (SFX). Procedurally generating a type of content can result in greater accessibility, cut development costs, and more. However, a natural problem that follows this approach is user fatigue. READ MORE
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5. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks are widely applied to various kinds of fields nowadays. However, hundreds of thousands of neurons in each layer result in intensive memory storage requirement and a massive number of operations, making it difficult to employ deep neural networks on mobile devices where the hardware resources are limited. READ MORE