Neural networks and fuzzy systems

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

How to Give GPT-5 External Memory in ChatGPT

Deqing Fu: Algorithmic Perspectives on Understanding Transformers

MLP 25T2 Time series

Jiaoda Li: Characterizing the Expressivity of Transformer Language Models

Chris Köcher: NoPE: The Counting Power of Transformers with No Positional Encodings

Alexandra Butoi: Training Neural Networks as Recognizers of Formal Languages

Let me explain PyTorch in 7 Concepts

The New Computer That Thinks Like a Brain

Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton

lect 19 naive bayes

33 ml HMM

23 ml KNN estimate

22 ml PNN

20 ML Non Parametric

20 ML Non Parametric