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0:13:15
Vanishing Gradients: Why Training RNNs is Hard
0:17:40
Vector-Quantized Variational Autoencoders (VQ-VAEs) | Deep Learning
0:18:54
Disentanglement with beta-VAEs | Deep Learning
0:18:58
Convolutional Neural Networks (CNNs) | Deep Learning
0:29:54
Understanding Variational Autoencoders (VAEs) | Deep Learning
0:06:31
The Geiger-Marsden Experiments | Nuclear Physics
0:09:40
Dijkstra's Algorithm: Finding the Shortest Path
0:02:49
Einstein's Ladder Paradox; Simply Explained
0:08:51
Solving Einstein's Twin Paradox
0:01:56
Relativistic Velocity Addition | Special Relativity
0:10:07
What is Spacetime? | Special Relativity
0:08:24
Deriving the General Lorentz Transformation | Special Relativity
0:17:35
Deriving the Lorentz Transformations | Special Relativity
0:10:03
Time Dilation and Length Contraction | Special Relativity
0:09:48
The Michelson-Morley Experiment | Special Relativity
0:19:23
The Physics of Nuclear Weapons
0:17:04
How YOLO Object Detection Works
0:15:52
Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
0:10:16
Backpropagation: How Neural Networks Learn
0:27:59
Transformers, Simply Explained | Deep Learning