🧠 Calculus, Backpropagation, and Deep Learning's Evolution
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YouTubeBangsaen AI Studio
🧠 Calculus, Backpropagation, and Deep Learning's Evolution
The video provides a comprehensive analysis of Backpropagation (BP), arguing that its significance lies not in discovering new mathematics, but in its computationally efficient application of the Chain Rule for calculating gradients in neural networks. Initially, the text details the early struggles of AI, particularly the Perceptron's failure ...
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Arsh Goyal on Instagram: "Comment Link to get a complete structured Roadmap in DMs. An AI Engineer at Google earns an average salary of 73 Lakhs and this is the roadmap you need to follow: - Fundamentals and Theory - Machine learning basics like supervised vs unsupervised learning, overfitting, bias-variance tradeoff, neural networks, and core algorithms. They test if you understand why things work. - Math and Statistics - Linear algebra, calculus (especially for backpropagation), probability di
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