Essays about: "Neural architecture search"

Showing result 1 - 5 of 19 essays containing the words Neural architecture search.

1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

3. 2. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nathan Allard; [2023]
   Keywords : ;

   Abstract : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. READ MORE

4. 3. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

   University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Author : Jacob Lindahl; [2023]
   Keywords : LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

   Abstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE

5. 4. Data Specific Neural Architecture Search with Minimal Training

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : LEON SIEGERT; [2022-12-05]
   Keywords : Neural Architecture Search Local Linear Operators; Training-Free Neural Architecture Search; Neural Architecture Search Without Training;

   Abstract : Conventional neural architecture search is computationally expensive. Training-free alternatives are not yet capable of designing architectures which are on par with hand-crafted architectures. This work conducts research in the domain of trainingfree neural architecture search towards closing the performance gap to hand-crafted architectures. READ MORE

6. 5. Learning to Search for Targets : A Deep Reinforcement Learning Approach to Visual Search in Unseen Environments

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Oskar Lundin; [2022]
   Keywords : visual search; reinforcement learning; deep learning; computer vision; autonomous systems; visuell sökning; förstärkningsinlärning; djupinlärning; datorseende; autonoma system;

   Abstract : Visual search is the perceptual task of locating a target in a visual environment. Due to applications in areas like search and rescue, surveillance, and home assistance, it is of great interest to automate visual search. READ MORE