In the discriminator's code, which layer helps in reducing the dimensions of the input image?DenseUpSampling2DBatchNormalizationConv2D with stridesReshape
Question
Solution 1
The layer that helps in reducing the dimensions of the input image in the discriminator's code is the Conv2D layer with strides.
Here's a step-by-step explanation:
- The Conv2D layer is a 2D convolution layer, which is commonly used in image processing. It creates a convolution kernel that is co Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
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