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gigasquid.github.io | ||
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vankessel.io
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| | | | | A blog for my thoughts. Mostly philosophy, math, and programming. | |
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www.paepper.com
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| | | | | [AI summary] This article explains how to train a simple neural network using Numpy in Python without relying on frameworks like TensorFlow or PyTorch, focusing on the implementation of ReLU activation, weight initialization, and gradient descent for optimization. | |
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adl1995.github.io
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| | | | | [AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions. | |
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a16z.com
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| | | A curated list of resources we've relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models. | ||
