Practice Forward Propagation & Backpropagation (intuition) (11.4) - Introduction to Deep Learning (Weeks 11)
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Forward Propagation & Backpropagation (Intuition)

Practice - Forward Propagation & Backpropagation (Intuition)

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Question 1

If a neural network consistently makes large errors, which part of the Backpropagation process is failing to effectively reduce these errors?
* Type: mcq
* Options: Activation functions, Input Layer, Optimizer, Output Layer's prediction
* Correct Answer: Optimizer
* Explanation: The optimizer is responsible for using the calculated gradients to make effective adjustments to the weights and biases to minimize error. If errors are large, the optimization process might not be working correctly (e.g., poor learning rate, getting stuck in local minima).
* Hint: It's the component that performs the actual adjustments.

Activation functions
Input Layer
Optimizer
Output Layer's prediction * **Correct Answer**: Optimizer * **Explanation**: The optimizer is responsible for using the calculated gradients to make effective adjustments to the weights and biases to minimize error. If errors are large
the optimization process might not be working correctly (e.g.
poor learning rate
getting stuck in local minima). * **Hint**: It's the component that performs the actual adjustments.

💡 Hint: It's the component that performs the actual adjustments.

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