Which optimization algorithm is commonly used to minimize the loss function in n

Practice Questions

Q1
Which optimization algorithm is commonly used to minimize the loss function in neural networks?
  1. Gradient Descent
  2. K-Means
  3. Principal Component Analysis
  4. Random Forest

Questions & Step-by-Step Solutions

Which optimization algorithm is commonly used to minimize the loss function in neural networks?
  • Step 1: Understand what a loss function is. It measures how well the neural network is performing.
  • Step 2: Know that we want to minimize this loss function to improve the network's performance.
  • Step 3: Learn about optimization algorithms, which are methods used to minimize the loss function.
  • Step 4: Identify Gradient Descent as a popular optimization algorithm.
  • Step 5: Realize that Gradient Descent works by adjusting the weights of the neural network based on the gradient (slope) of the loss function.
No concepts available.
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