DeepFindr
29.2K subscribers
28:55
Uniform Manifold Approximation and Projection (UMAP) | Dimensionality Reduction Techniques (5/5)
DeepFindr
943 views • 2 weeks ago
31:20
t-distributed Stochastic Neighbor Embedding (t-SNE) | Dimensionality Reduction Techniques (4/5)
DeepFindr
2.4K views • 2 months ago
30:12
Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques (3/5)
DeepFindr
2.2K views • 4 months ago
26:17
Principal Component Analysis (PCA) | Dimensionality Reduction Techniques (2/5)
DeepFindr
3K views • 5 months ago
13:10
Dimensionality Reduction Techniques | Introduction and Manifold Learning (1/5)
DeepFindr
7.3K views • 6 months ago
17:07
LoRA explained (and a bit about precision and quantization)
DeepFindr
41K views • 8 months ago
16:51
Vision Transformer Quick Guide - Theory and Code in (almost) 15 min
DeepFindr
50K views • 10 months ago
17:45
Personalized Image Generation (using Dreambooth) explained!
DeepFindr
6.7K views • 1 year ago
16:19
Equivariant Neural Networks | Part 3/3 - Transformers and GNNs
DeepFindr
4.8K views • 1 year ago
15:57
Equivariant Neural Networks | Part 2/3 - Generalized CNNs
DeepFindr
4.4K views • 1 year ago
18:51
Equivariant Neural Networks | Part 1/3 - Introduction
DeepFindr
9.5K views • 1 year ago
9:33
State of AI 2022 - My Highlights
DeepFindr
2.7K views • 1 year ago
27:20
Contrastive Learning in PyTorch - Part 2: CL on Point Clouds
DeepFindr
14K views • 1 year ago
14:21
Contrastive Learning in PyTorch - Part 1: Introduction
DeepFindr
26K views • 1 year ago
12:09
Self-/Unsupervised GNN Training
DeepFindr
15K views • 1 year ago
30:54
Diffusion models from scratch in PyTorch
DeepFindr
222K views • 1 year ago
16:13
Causality and (Graph) Neural Networks
DeepFindr
15K views • 1 year ago
14:15
How to get started with Data Science (Career tracks and advice)
DeepFindr
1.5K views • 1 year ago
18:11
Converting a Tabular Dataset to a Temporal Graph Dataset for GNNs
DeepFindr
10K views • 2 years ago
15:22
Converting a Tabular Dataset to a Graph Dataset for GNNs
DeepFindr
28K views • 2 years ago
13:40
How to handle Uncertainty in Deep Learning #2.2
DeepFindr
2.8K views • 2 years ago
13:55
How to handle Uncertainty in Deep Learning #2.1
DeepFindr
5.1K views • 2 years ago
14:55
How to handle Uncertainty in Deep Learning #1.2
DeepFindr
3.5K views • 2 years ago
18:38
How to handle Uncertainty in Deep Learning #1.1
DeepFindr
10K views • 2 years ago
13:01
Recommender Systems using Graph Neural Networks
DeepFindr
20K views • 2 years ago
12:38
Fake News Detection using Graphs with Pytorch Geometric
DeepFindr
13K views • 2 years ago
12:16
Fraud Detection with Graph Neural Networks
DeepFindr
24K views • 2 years ago
16:28
Traffic Forecasting with Pytorch Geometric Temporal
DeepFindr
21K views • 2 years ago
14:26
Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting)
DeepFindr
25K views • 2 years ago
11:09
Python Graph Neural Network Libraries (an Overview)
DeepFindr
7.6K views • 2 years ago
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