Question - Can you name a few hyperparameters used for training a neural network.
Answer -
When training any neural networks there are two types of hyperparameters-one that define the structure of the neural network and the other determining how a neural network is trained. Listed are a few hyperparameters that are set before training any neural network –
- Initialization of weights
- Setting the number of hidden layers
- Learning Rate
- Number of epochs
- Activation Functions
- Batch Size
- Momentum