Deepfindr

Understanding Graph Neural Networks | Part 1/3 - Introduction 08:18
Understanding Graph Neural Networks | Part 1/3 - Introduction DeepFindr 170,126 4 года назад
Explainable AI explained! | #4 SHAP 15:50
Explainable AI explained! | #4 SHAP DeepFindr 93,557 4 года назад
Explainable AI explained! | #3 LIME 13:59
Explainable AI explained! | #3 LIME DeepFindr 72,465 4 года назад
Understanding Graph Attention Networks 15:00
Understanding Graph Attention Networks DeepFindr 101,363 4 года назад
Diffusion models from scratch in PyTorch 30:54
Diffusion models from scratch in PyTorch DeepFindr 289,970 2 года назад
How to explain Graph Neural Networks (with XAI) 15:07
How to explain Graph Neural Networks (with XAI) DeepFindr 20,407 3 года назад
Explainable AI explained! | #1 Introduction 06:53
Explainable AI explained! | #1 Introduction DeepFindr 80,070 4 года назад
Principal Component Analysis (PCA) | Dimensionality Reduction Techniques (2/5) 26:17
Principal Component Analysis (PCA) | Dimensionality Reduction Techniques (2/5) DeepFindr 14,299 1 год назад
Converting a Tabular Dataset to a Graph Dataset for GNNs 15:22
Converting a Tabular Dataset to a Graph Dataset for GNNs DeepFindr 36,715 3 года назад
Vision Transformer Quick Guide - Theory and Code in (almost) 15 min 16:51
Vision Transformer Quick Guide - Theory and Code in (almost) 15 min DeepFindr 139,378 1 год назад
How to use edge features in Graph Neural Networks (and PyTorch Geometric) 16:48
How to use edge features in Graph Neural Networks (and PyTorch Geometric) DeepFindr 57,327 4 года назад
Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques (3/5) 30:12
Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques (3/5) DeepFindr 10,216 1 год назад
Causality and (Graph) Neural Networks 16:13
Causality and (Graph) Neural Networks DeepFindr 20,532 2 года назад
LoRA explained (and a bit about precision and quantization) 17:07
LoRA explained (and a bit about precision and quantization) DeepFindr 92,625 1 год назад
Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5) 28:55
Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5) DeepFindr 9,063 1 год назад
How to handle Uncertainty in Deep Learning #1.1 18:38
How to handle Uncertainty in Deep Learning #1.1 DeepFindr 13,319 3 года назад
Explainable AI explained! | #5 Counterfactual explanations and adversarial attacks 16:57
Explainable AI explained! | #5 Counterfactual explanations and adversarial attacks DeepFindr 26,204 4 года назад
Understanding Convolutional Neural Networks | Part 1 / 3 - The Basics 19:59
Understanding Convolutional Neural Networks | Part 1 / 3 - The Basics DeepFindr 3,702 4 года назад
Self-/Unsupervised GNN Training 12:09
Self-/Unsupervised GNN Training DeepFindr 21,518 2 года назад
How to handle Uncertainty in Deep Learning #1.2 14:55
How to handle Uncertainty in Deep Learning #1.2 DeepFindr 4,594 3 года назад

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