Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior

19 December 2017

Papers citing "Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior"

8 / 8 papers shown

Title
Synthetic Dataset Generation of Driver Telematics Banghee So J. Boucher Emiliano A. Valdez 74 25 0 30 Jan 2021
Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance T. Chong I-Chao Shen Issei Sato Takeo Igarashi 47 4 0 24 Jun 2019
Gradient target propagation T. S. Farias Jonas Maziero 28 3 0 19 Oct 2018
Facial Information Recovery from Heavily Damaged Images using Generative Adversarial Network- PART 1 P. Murugan GAN CVBM 36 2 0 27 Aug 2018
Learning The Sequential Temporal Information with Recurrent Neural Networks P. Murugan 32 10 0 08 Jul 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 101 340 0 08 May 2018
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks S. Dar Mahmut Yurt Levent Karacan Aykut Erdem Erkut Erdem Tolga Çukur MedIm 101 454 0 05 Feb 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 32 18 0 03 Jan 2018