Paper recap: Focal Loss for Dense Object Detection — Focal Loss for Dense Object Detection Lin et al, 2020

Paper recap: Bag of Tricks for Image Classification with Convolutional Neural Networks — Bag of Tricks for Image Classification with Convolutional Neural Networks He, Tong Zhang, Zhi Zhang, Hang Zhang, Zhongyue Xie, Junyuan Li, Mu,...

Paper recap: CutMix — CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Yun, Sangdoo Han, Dongyoon Chun, Sanghyuk Oh, Seong Joon Choe, Junsuk Yoo,...

Paper recap: MixUp: Beyond empirical risk minimization — MixUp: Beyond empirical risk minimization Zhang, Hongyi Cisse, Moustapha Dauphin, Yann N.Lopez-Paz, David, 2018 Research Topic Category (General): Deep Learning Category (Specific):...

Paper recap: SGDR, Super-convergence — SGDR: Stochastic Gradient Descent with Warm Restarts Ilya Loshchilov, Frank Hutter, 2016 Super-Convergence: Very Fast Training of Neural Networks Using Large Learning...

Paper recap: A disciplined approach to neural network hyper-parameters: Part 1 — A disciplined approach to neural network hyper-parameters: Part 1 Lesli N.Smith, 2018 Research Topic Category (General): Deep Learning. Category (Specific): Hyperparameters Tuning....

Paper recap: Cyclical Learning Rates for Training Neural Networks — Cyclical Learning Rates for Training Neural Networks Lesli N.Smith, 2017 Research Topic Category (General): Deep Learning Category (Specific): Hyperparameters (Learning rate) Tuning...

First blog — Hello. This is my very first blog. Lorem ipsum?