4) Explainable AI (XAI) methods SHAP, LIME, Partial Dependence Plots, CNN Visualizations1просмотрчас назад
3) Interpretability of Decision Trees, Neural Networks and Regression Explainable AI XAI1просмотр3 часа назад
1) ML project-based course for beginners Let us publish an ML paper in Explainable AI3просмотрадень назад
9) Can we use coding agent for one-shot actions VLA for autonomous driving series5просмотровдень назад
8) Introduction to Reinforcement Learning and PPO for robotics VLA for autonomous driving series1просмотр2 дня назад
5) Introduction for world models for autonomous driving VLA for autonomous driving series Session 46просмотров2 дня назад
4) VLA for autonomous driving - how to get started with hardware Working with simulation environment3просмотра2 дня назад
3) How to connect, collect data, train & do inference on your robot car VLA for autonomous driving2просмотра2 дня назад
2) Introduction to ACT for autonomous driving VLA for autonomous driving bootcamp Lecture 22просмотра2 дня назад
1) Introduction to Graph Neural Networks A project-based beginner-friendly course Machine Learning4просмотра3 дня назад
2) Graph Neural Networks (GNN) Nodes, Edges, Adjacency Matrix, Message Passing, Aggregationexplained3просмотра4 дня назад
3) Let us code a Graph Neural Network (GNN) from Scratch in 30 minutes Build your first GNN2просмотра4 дня назад