How do I use Dropout in Keras?
An example of an AI chatbot conversation about using Dropout in Keras for neural networks.
How do I use Dropout in Keras?
You can use Dropout in Keras by adding a Dropout layer to your model. It helps prevent overfitting.
What is the purpose of Dropout?
Dropout randomly sets a fraction of input units to 0 during training, which helps to reduce overfitting.
How do I specify the dropout rate?
You can specify the dropout rate as a parameter in the Dropout layer, like this: Dropout(rate=0.5).
Can I use Dropout in convolutional layers?
Yes, you can use Dropout in convolutional layers, typically after the convolutional layers and before the dense layers.
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