BACKPROPAGATION // a core algorithm in neural network training that computes how each weight influences the loss by sending error signals backward through the layers. These gradients guide optimizers like gradient descent to update weights and steadily improve model performance.
Introducing “recursive hills” — Official Finalist | Runway GEN:48
An #AI short film created in 48 hours for the @runwayml#gen48 Film Festival 2025.
Blending cutting-edge generative models with analog photography & exploring memory, loss, and simulation.
https://t.co/baq5RKMSHQ