explained.ai

18.408 Theoretical Foundations for Deep Learning, Spring 202

Mathematics of Deep Learning: Lecture 1- Introduction and the Universality of Depth 1 Nets

Deep learning theory lecture notes

COS597G (Fall 2018) Theoretical Foundations of Deep Learning

minhlong94/must-read-ai-papers: A collection of must-read AI-related papers

Distributional Reinforcement Learning

machine learning - What is the roadmap to self-taught probability and statistics for artificial intelligence? - Cross Validated

CS229br Foundations of Deep Learning (aka Topics in the Foundations of Machine Learning)

The Annotated Transformer

Transformers from scratch | peterbloem.nl

Lecture 6: Beyond linear models | Learning and Reasoning

[1902.08160] Topology of Learning in Artificial Neural Networks

[2204.08624] Topology and geometry of data manifold in deep learning

Graph Neural Network (GNN) Architectures for Recommendation Systems | by Santhosh Rajamanickam | Towards Data Science

9.5. Recurrent Neural Network Implementation from Scratch — Dive into Deep Learning 1.0.0-alpha1.post0 documentation

GitHub - labmlai/annotated_deep_learning_paper_implementations: 🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Lecture Videos | Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWare

CS 188: Introduction to Artificial Intelligence (Spring 2015, UC Berkeley) | Computer Science | Audio/video Courses

CS231A: Computer Vision, From 3D Reconstruction to Recognition

Zymrael/awesome-neural-ode: A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

SciML/SciMLBook: Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

CS236G Generative Adversarial Networks (GANs)

CS234: Reinforcement Learning | Winter 2019 - YouTube

Machine learning with neural controlled differential equations | Mathematical Institute

QASR – ArabicSpeech

Arabic Speech Corpus

A Deep Neural Networks (DNN) Based Models for a Computer Aided Pronunciation Learning System | SpringerLink

Computer Aided Qur’an Pronunciation using DNN - IOS Press

floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!