09:05
[NeurIPS 2020 - Spotlight] Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
09:09
[NeurIPS 2020 - Spotlight] Self-Supervised Relational Reasoning for Representation Learning
16:35
[Few-shot learning][2.5] Beyond MAML with MAML++
28:11
[Few-shot learning][2.4] MAML: Model-Agnostic Meta-Learning
14:58
[Few-shot learning][2.3] Relation Networks: intuition, algorithm, pytorch code, pros and cons
22:18
[Few-shot learning][2.2] Prototypical Networks: intuition, algorithm, pytorch code
01:09
Corner detector comparison (4K): Harris, Shi-Tomasi, FAST, ORB
20:01
[Few-shot learning][2.1] transfer learning
24:57
[Few-shot learning][2.0] literature review (MAML, ProtoNets, RelationNets, etc)
12:59
[Few-shot learning][1.1] datasets
12:36
[Few-shot learning][1.0] introduction, problem definition, terminology
01:30
iCub autonomously identifies reliable people
02:12
iCub Robot Learns Objects using an Artificial Neural Network
02:39
Eric Britain's First Robot Raises Again at London Science Museum
00:33
InMoov Humanoid Autonomous Robot at Hackathon 2016
03:33
Playing Google Chrome's Dinosaur Game with Hand-Tracking using the Deepgaze library
00:53
Tracking using Particle Filter and Backprojection
01:41
Mootion detector comparison: frame differencing, MOG, MOG2
04:26
Self-Organizing Maps for Head Pose Clustering with the NAO Robot (Python)
01:44
Head Pose Estimation in-the-wild with OpenCV and dlib (Python)
01:09
Head Pose Estimation with OpenCV and dlib (Python)
02:17
Self-Organizing Maps for Color Quantization (python)
02:42
Self-Organizing Maps and Marilyn Monroe
01:19
Self-Organizing Map - Euclidean Distance Estimation (python)
02:01
Self-Organizing Map for color classification (python)
00:42
THRIVE project, Trust in Human Robot Interaction.
00:13
Hexapod Robot- First Test
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My personal channel, where I share educational content about Machine Learning, Deep Learning, and Reinforcement Learning.
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