The Easiest Way to Understand Backpropagation
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When I first learned deep learning, I thought there was only one way to train a neural network: compute the gradient and update the weights. Then I discovered there are actually three different ways to do it. Let's understand them with a simple example. Imagine you have a dataset with 10,000 images . Your goal is to minimize the loss function by updating the model's weights. Batch Gradient Descent Batch Gradient Descent processes the entire dataset before making a single update. 10,000 samples…
1Key Takeaways
- When I first learned deep learning, I thought there was only one way to train a neural network: compute the gradient and update the weights.
- Then I discovered there are actually three different ways to do it.
- Let's understand them with a simple example.
- Imagine you have a dataset with 10,000 images .
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that when I first learned deep learning, I thought there was only one way to train a neural network: compute the gradient and update the weights.
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