Essays about: "quantized neural networks"

Showing result 1 - 5 of 11 essays containing the words quantized neural networks.

1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

   Author : Khalid El Yaacoub; [2024]
   Keywords : Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE

3. 2. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Egemen Yiğit Kömürcü; [2023]
   Keywords : ;

   Abstract : 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

4. 3. Mixed Precision Quantization for Computer Vision Tasks in Autonomous Driving

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

   Author : Sri Janani Rengarajan; [2022]
   Keywords : Quantization; Neural Networks; Quantization Aware Training; Mixed precision; Semantic segmentation; Hessian; Kvantisering; Neurala nätverk; Kvantiseringsmedveten träning; Blandad precision; Semantisk segmentering; Hessian;

   Abstract : Quantization of Neural Networks is popular technique for adopting computation intensive Deep Learning applications to edge devices. In this work, low bit mixed precision quantization of FPN-Resnet18 model trained for the task of semantic segmentation is explored using Cityscapes and Arriver datasets. READ MORE

5. 4. Polar Codes for Biometric Identification Systems

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

   Author : Yicheng Bao; [2022]
   Keywords : Biometrics; Polar codes; Identification systems; Convolutional neural networks; Autoencoder; Privacy preservation; Biometri; Polära koder; Identifieringssystem; Konvolutionella neurala nätverk; Autoencoder; Sekretessskydd;

   Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE

6. 5. Mapping quantized convolutional layers on the SiLago platform

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

   Author : Yue Zhang; [2022]
   Keywords : SiLago; algorithm mapping; quantized neural networks; convolution; SiLago; algoritmkartläggning; kvantiserade neurala nätverk; faltning;

   Abstract : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. READ MORE