Learning Path
Question & Answer
Choose the Best Answer
B → A → C → D
A → B → C → D
B → C → A → D
A → C → B → D
Understanding the Answer
Let's break down why this is correct
First, you add more layers to explore deeper models. Other options are incorrect because Adding residual connections before making the network deeper means you are giving support to a network that still needs more layers; Monitoring accuracy before fixing the problem can make you think the network is fine when it is not.
Key Concepts
Degradation Problem in Deep Networks
easy level question
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Deep Dive: Degradation Problem in Deep Networks
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Definition
The degradation problem in deep networks refers to the phenomenon where increasing network depth leads to saturation and rapid degradation in accuracy, despite not being caused by overfitting. This challenge highlights the complexities of optimizing deep models and the need for innovative approaches to prevent performance degradation.
Topic Definition
The degradation problem in deep networks refers to the phenomenon where increasing network depth leads to saturation and rapid degradation in accuracy, despite not being caused by overfitting. This challenge highlights the complexities of optimizing deep models and the need for innovative approaches to prevent performance degradation.
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