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

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Question: Which optimization algorithm is commonly used to minimize the loss function in neural networks?

Options:

Correct Answer: Gradient Descent

Solution:

Gradient Descent is the most commonly used optimization algorithm for minimizing the loss function in neural networks.

Which optimization algorithm is commonly used to minimize the loss function in neural networks?

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.

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