Essays about: "NAS Neural Architecture Search"

Found 3 essays containing the words NAS 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. Investigating minimal Convolution Neural Networks (CNNs) for realtime embedded eye feature detection

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

    Author : Wei-Hong Sung; [2020]
    Keywords : ;

    Abstract : With the rapid rise of neural networks, many tasks that used to be difficult to complete in traditional methods can now be solved well, especially in the computer vision field. However, as the tasks we have to solve have become more and more complex, the neural networks we use are becoming deeper and larger. READ MORE

  4. 3. Bayesian Optimization for Neural Architecture Search using Graph Kernels

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

    Author : Bharathwaj Krishnaswami Sreedhar; [2020]
    Keywords : Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks; Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks;

    Abstract : Neural architecture search is a popular method for automating architecture design. Bayesian optimization is a widely used approach for hyper-parameter optimization and can estimate a function with limited samples. READ MORE