Все публикации

Vanishing Gradients: Why Training RNNs is Hard

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

Disentanglement with beta-VAEs | Deep Learning

Convolutional Neural Networks (CNNs) | Deep Learning

Understanding Variational Autoencoders (VAEs) | Deep Learning

The Geiger-Marsden Experiments | Nuclear Physics

Dijkstra's Algorithm: Finding the Shortest Path

Einstein's Ladder Paradox; Simply Explained

Solving Einstein's Twin Paradox

Relativistic Velocity Addition | Special Relativity

What is Spacetime? | Special Relativity

Deriving the General Lorentz Transformation | Special Relativity

Deriving the Lorentz Transformations | Special Relativity

Time Dilation and Length Contraction | Special Relativity

The Michelson-Morley Experiment | Special Relativity

The Physics of Nuclear Weapons

How YOLO Object Detection Works

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

Backpropagation: How Neural Networks Learn

Transformers, Simply Explained | Deep Learning