Теория глубокого обучения, SOTAML School 2020

Семен Поляков, программистразработчик команды CoreML ВКонтакте План лекции: Часть 1: 1. Intro ML vs DL DL history 2. Architectures Feedforward networks CNN RNN Transformers Часть 2: 1. Bias and Variance tradeoff Problem setup Regularization 2. Who was after Adam Optimizers 3. Multitasking Multitasking Transfer learning 4. Compression 5. Last but not least Adversarial attacks Neural tangent kernels Flows Final