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The Essence of Neural Networks (As Explained by Karpathy) Series' Articles

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The Essence of Neural Networks (As Explained by Karpathy)
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The Essence of Neural Networks (As Explained by Karpathy)

#programming #ai #machinelearning #productivity
11
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2 min read
Understanding Backpropagation from Scratch with micrograd - Derivatives
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Understanding Backpropagation from Scratch with micrograd - Derivatives

#programming #ai #python #machinelearning
20
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3 min read
Representing Math Expressions As Graphs in micrograd
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Representing Math Expressions As Graphs in micrograd

#programming #ai #python #machinelearning
15
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3 min read
Back-Propagation Spelled Out - As Explained by Karpathy
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Back-Propagation Spelled Out - As Explained by Karpathy

#programming #ai #python #machinelearning
12
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4 min read
Modeling a Neuron in micrograd (As Explained by Karpathy)
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Modeling a Neuron in micrograd (As Explained by Karpathy)

#programming #ai #python #machinelearning
15
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3 min read
Fully Automated Gradient Calculation on Expression Graph (As Explained By Karpathy)
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Fully Automated Gradient Calculation on Expression Graph (As Explained By Karpathy)

#programming #ai #python #machinelearning
11
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4 min read
Fixing A Bug in micrograd BackProp (As Explained by Karpathy)
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Fixing A Bug in micrograd BackProp (As Explained by Karpathy)

#programming #ai #python #machinelearning
15
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3 min read
Breaking Down tanh into Its Constituent Operations (As Explained By Karpathy)
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Breaking Down tanh into Its Constituent Operations (As Explained By Karpathy)

#programming #ai #python #machinelearning
5
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3 min read