26:46

Understanding GANs (Generative Adversarial Networks) | Deep Learning

13:15

Vanishing Gradients: Why Training RNNs is Hard

17:40

Vector-Quantized Variational Autoencoders (VQ-VAEs) | Deep Learning

18:54

Disentanglement with beta-VAEs | Deep Learning

18:58

Convolutional Neural Networks (CNNs) | Deep Learning

29:54

Understanding Variational Autoencoders (VAEs) | Deep Learning

6:31

The Geiger-Marsden Experiments | Nuclear Physics

9:40

Dijkstra's Algorithm: Finding the Shortest Path

2:49

Einstein's Ladder Paradox; Simply Explained

8:51

Solving Einstein's Twin Paradox

1:56

Relativistic Velocity Addition | Special Relativity

10:07

What is Spacetime? | Special Relativity

8:24

Deriving the General Lorentz Transformation | Special Relativity

17:35

Deriving the Lorentz Transformations | Special Relativity

10:03

Time Dilation and Length Contraction | Special Relativity

9:48

The Michelson-Morley Experiment | Special Relativity

19:23

The Physics of Nuclear Weapons

17:04

How YOLO Object Detection Works

15:52

Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)

10:16

Backpropagation: How Neural Networks Learn

27:59

Transformers, Simply Explained | Deep Learning