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Neural Networks | Easiest Explanation for Papa | Anyone can learn AI | Basics of Deep Learning

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Timestamps-
0:00 – Coming up
0:15 – Equation of line example
2:03 – Educosys GenAI
2:45 – Loss Functions
4:35 – Gradients
5:30 – How Learning of variables happen
5:49 – Intro to term NN
7:15 – NN VIsualization
9:27 – NN with one neuron in hidden layer
10:20 – Activation Functions
11:00 – Universal Approximation Theorem
12:14 – Papa’s Test

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