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I built a bigram language model from Andrej Karpathy's Zero to Hero course: a 27x27 grid learned from 32,033 names, then a tiny neural network that ends up with almost the same grid. #karpathy #machinelearning #neuralnetwork #chatgpt #learnai
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TikTokolleai
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These cells are evolving! Each cell has a genome that drives it's look and behavior. Everything you see is being procedurally generated. Each time the cells replicate, the daughter cells inherit the parent's genome with small mutations. Behaviors are driven by NEAT-like neural networks that mutate and evolve too. Watch wonderful emergence! #spore #simulation #biology #evolution #pixelart
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The Multi-Layer Perceptron (MLP) is a foundational class of feedforward artificial neural networks. It consists of at least three layers of nodes: an input layer, one or more hidden layers, and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function, such as ReLU or Sigmoid. This nonlinearity allows MLPs to solve complex, non-linearly separable problems, distinguishing them from simpler linear perceptrons.The true power of an MLP lies in its t
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