The Code of Cognition: A Creative Romp Through the Equations That Enable AI
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Chapter 1: The Gradient Descent Algorithm
0:008:47
Success & InspirationMathematics
Episodes
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Chapter 1: The Gradient Descent Algorithm
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Chapter 2: The Bayes’ Theorem
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Chapter 3: The Backpropagation Algorithm
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Chapter 4: The Softmax Function
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Chapter 5: The Sigmoid Function
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Chapter 6: The Entropy Function
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Chapter 7: The Cosine Similarity Function
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Chapter 8: The Normal Distribution Function
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Chapter 9: The Matrix Multiplication Function
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Chapter 10: The Activation Function