Question: Which of the following optimizers is commonly used in training neural networks?
Options:
Stochastic Gradient Descent
K-Means
Principal Component Analysis
Support Vector Machine
Correct Answer: Stochastic Gradient Descent
Solution:
Stochastic Gradient Descent (SGD) is a widely used optimizer for training neural networks.
Which of the following optimizers is commonly used in training neural networks?
Practice Questions
Q1
Which of the following optimizers is commonly used in training neural networks?
Stochastic Gradient Descent
K-Means
Principal Component Analysis
Support Vector Machine
Questions & Step-by-Step Solutions
Which of the following optimizers is commonly used in training neural networks?
Step 1: Understand what an optimizer is. An optimizer is a method used to update the weights of a neural network to minimize the loss function.
Step 2: Learn about Stochastic Gradient Descent (SGD). SGD is a popular optimizer that updates weights using a small batch of data instead of the entire dataset.
Step 3: Recognize that SGD helps in faster convergence during training, making it a common choice for training neural networks.
Step 4: Identify that there are other optimizers too, but SGD is one of the most widely used.
No concepts available.
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