Machine Learning Crash Course: Neural Networks Backprop

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Backpropagation is a popular machine learning algorithm for optimizing the parameter values in a neural network.

In this Machine Learning Crash Course video, you'll learn how backpropagation works by exploring how a "real-life" neural network—a classroom of students collaborating on an task—iteratively learns how to improve their output.

#backpropagation #neural_networks #training #machine_learning #ml

Speaker: Warren Reid
  1. Google for Developers
  2. Google
  3. developers
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Комментарии
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That's a really good analogy. It took me many hours, getting back into math to understand this concept.

Loserfr
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Amazing video! Even though you could have used little bit of math like showing it on a 3 layer network.

TobCraft
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Machine learning is actually pretty interesting, thank you for the analogy. For those looking for something industry-specific, Immersive Translate now allows you to customize your own AI expert, it also allows translations in the technology field become more accurate and professional.

XuanThao
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So how do I write a python code to execute this

ecaltroyer