Neural networks and fuzzy systems

[ИАД, осень 2025] Методы глубокого обучение. Лекция 6: Image Classification

[IAD, fall 2025] Deep Learning Methods. Lecture 6: Image Classification

Deep Learning 4 [Odd Semester 2025/2026 Telyu] - Convolutional Neural Network (CNN)

MLP_25T3_Week3_Session2

Uncertainty quantification for neural networks in particle physics - Anja BUTTER

Uncertainty quantification for deep learning in astroparticle physics - Christian GLASER

Energy flow networks for jet quenching studies - Joao Gonçalves

Big Llm architecture comparison - part 2

MLP_T32025_Week3_LiveSession1

[ИАД, осень 2025] Методы глубокого обучения. Семинар 3: CNN Implementation

[IAD, fall 2025] Deep learning methods. Seminar 3: CNN Implementation

MLP Project Live Session

Deep Learning 3 [Odd Semester 2025/2026 Telyu] - Deep Learning Computation

Ying Fan: Looped Transformers for Length Generalization

Andrew Gordon Wilson: Deep Learning is Not So Mysterious or Different

Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning

Backpropagation Visually Explained | Deep Learning Part 2

Ashok Vardhan: Attention with Markov: A Curious Case of Single-layer Transformers

The Big LLM Architecture Comparison - Part 2

L’algorithme étonnant qui lit dans le futur

The Astonishing Algorithm That Reads the Future

Deep Learning 2 [Odd Semester 2025/2026 Telyu] - Multilayer Perceptrons & Neural Network

Deep Learning 1 [Odd Semester 2025/2026 Telyu] - Introduction to Deep Learning

Stacked-Residual PINN for State Reconstruction || Sep 26, 2025

MLP Project Orientation | T3 25

The Big LLM Architecture Comparison

Conferencias- De átomos a algoritmos: la revolución de la IA en Física y Química

Conferences - From atoms to algorithms: the AI ​​revolution in Physics and Chemistry

[ИАД, осень 2025] Методы глубокого обучение. Лекция 3: Initialization, Normalization, CNN

[IAD, Fall 2025] Deep Learning Methods. Lecture 3: Initialization, Normalization, CNN

Neural Networks Intuition

[ИАД, осень 2025] Методы глубокого обучения. Занятие 2: Optimization, Regularization

[IAD, Fall 2025] Deep Learning Methods. Lecture 2: Optimization, Regularization

[ИАД, осень 2025] Методы глубокого обучения. Занятие 1: Introduction, MLP, Backpropagation

[ИАД, fall 2025] Deep Learning Methods. Class 1: Introduction, MLP, Backpropagation

Abnormal convergence issue in DeepONet || ML in modeling turbulent mixing || Sep 5, 2025

Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 6: CNN Architectures

Stanford CS231N | Spring 2025 | Lecture 8: Attention and Transformers

Stanford CS231N | Spring 2025 | Lecture 7: Recurrent Neural Networks

Stanford CS231N | Spring 2025 | Lecture 5: Image Classification with CNNs

Stanford CS231N | Spring 2025 | Lecture 4: Neural Networks and Backpropagation

Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization

Prof. Sophie Langer | Keynote Speaker - Statistical Breakthroughs and Novel Perspectives in Deep ...

Fredholm Neural Networks || Aug 29, 2025

Dr. Andrea Agazzi | Clustering Dynamics in Mean-Field Models of Transformers

MLP End Term Revision

MLP End of Term Revision

Juno Kim: Transformers Provably Solve Parity Efficiently with Chain of Thought