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Andrej Karpathy summarizes how neural networks function, including the process of using a loss function in training and applying backpropagation for optimizing the network parameters through gradient descent.

tetsuo

225,858 subscribers

141,964 просмотров • 7 месяцев назад •via X (Twitter)

Наука и технологии Образование

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Trained a single layer neural network in C to predict AND GATE from scratch using gradient descent and Batch training of dataset in almost 300K epochs

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