[HDI Lab seminar] Approximation with deep neural networks Published 2021-03-04 Download video MP4 360p Recommendations 1:13:57 [HDI Lab seminar] On the Stability of Random Matrix Product with Markovian Noise 1:17:47 [Colloquium] Approximation with neural networks of minimal size (Dmitry Yarotsky) 17:23 I Made a Neural Network with just Redstone! 40:08 The Most Important Algorithm in Machine Learning 16:37 Recurrent Neural Networks (RNNs), Clearly Explained!!! 21:01 A Friendly Introduction to Generative Adversarial Networks (GANs) 15:24 Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) 26:55 ChatGPT: 30 Year History | How AI Learned to Talk 18:40 But what is a neural network? | Chapter 1, Deep learning 17:01 The rarest move in chess 1:17:16 Что такое биоинформатика? Про ДНК Александра Невского и кардиотесты 08:37 Convolutional Neural Networks (CNNs) explained 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 39:15 Possible End of Humanity from AI? Geoffrey Hinton at MIT Technology Review's EmTech Digital 1:50:46 КОГДА РОССИЯ БЫЛА ИМПЕРИАЛИСТОМ? Профессор Попов — про импортозамещение, мигрантов и смертную казнь 39:04 Как работает ChatGPT: объясняем нейросети просто 16:12 Word Embedding and Word2Vec, Clearly Explained!!! 1:24:54 О плотнейших упаковках шаров (Ирина Резвякова) 18:54 The Essential Main Ideas of Neural Networks 20:45 Long Short-Term Memory (LSTM), Clearly Explained Similar videos 1:09:10 [HDI Lab seminar] Constructive Universal High-Dimensional Distribution Generation through Deep ReLU 2:13:36 Two seminars on "Approximation theory for MLDS" and "Noisy Recurrent Neural Networks". 22:22 Zuowei Shen | Deep Approximation via Deep Learning 58:10 1W-MINDS: Helmut Bölcskei, August 20, 2020, Fundamental limits of learning in deep neural networks 47:05 Nonlinear approximation by deep ReLU networks - Ron DeVore, Texas A&M 08:07 NASA: Neural Articulated Shape Approximation (ECCV 2020) 46:47 Ding-Xuan Zhou - Approximation theory of deep convolutional nets 1:27:48 Аппроксимации нейронными сетями минимального размера 03:34 MLfAS - 02 Neural Network as Function Approximator, Regression - 03 Deep Function Approximator 54:36 [HDI Lab seminar] Rates of convergence for density estimation with GANs 21:07 9.1 We can approximate the universe (Data Mining and Machine Learning) 13:38 A Corrective View of Neural Networks: Representation, Memorization and Learning 56:04 [HDI Lab seminar] Stochastic normalizing flows 2:12:27 Дмитрий Яроцкий — Аппроксимации нейронными сетями минимального размера: экзотические режимы ... 07:29 Видео #21. Тестирование кода на задаче по аппроксимации. 1:28:46 DL4CV@WIS (Spring 2021) Lecture 13: Theory of Deep Learning 1:13:38 [HDI Lab seminar] Near-Optimal Model Discrimination with Non-Disclosure 05:13 Reinforcement Learning: Introduction More results