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We take the 2-layer MLP (with BatchNorm) from the previous video and backpropagate through it manually without using PyTorch autograd's loss.backward(...
We dive into some of the internals of MLPs with multiple layers and scrutinize the statistics of the forward pass activations, backward pass gradients...
Prompt: "psychedelic faces" Stable diffusion takes a noise vector as input and samples an image. To create this video I smoothly (spherically) interpo...
Prompt: "ultrarealistic steam punk neural network machine in the shape of a brain, placed on a pedestal, covered with neurons made of gears. dramatic...
Dreams of tattoos. (There are a few discrete jumps in the video because I had to erase portions that got just a little 🌶️, believe I got most of it)...
This is the most step-by-step spelled-out explanation of backpropagation and training of neural networks. It only assumes basic knowledge of Python an...
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