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Which optimization algorithm is commonly used to update weights in neural networ

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Question: Which optimization algorithm is commonly used to update weights in neural networks?

Options:

  1. K-means
  2. Stochastic Gradient Descent
  3. Principal Component Analysis
  4. Random Forest

Correct Answer: Stochastic Gradient Descent

Solution: 

Stochastic Gradient Descent (SGD) is a popular optimization algorithm used to update weights in neural networks based on the gradient of the loss function.

Which optimization algorithm is commonly used to update weights in neural networ

Practice Questions

Q1
Which optimization algorithm is commonly used to update weights in neural networks?
  1. K-means
  2. Stochastic Gradient Descent
  3. Principal Component Analysis
  4. Random Forest

Questions & Step-by-Step Solutions

Which optimization algorithm is commonly used to update weights in neural networks?
  • Step 1: Understand that neural networks learn by adjusting their weights.
  • Step 2: Know that weights are updated to minimize the difference between predicted and actual outcomes.
  • Step 3: Learn that the process of updating weights is guided by a method called an optimization algorithm.
  • Step 4: Identify Stochastic Gradient Descent (SGD) as a common optimization algorithm.
  • Step 5: Realize that SGD updates weights based on the gradient (slope) of the loss function, which measures how well the network is performing.
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