Livoa LogoLivoa
Input Layer


The image is acquired and represented as a matrix of pixel values.

Convolutional Layer


Filters are applied to extract local features from the image.

ReLU Activation


Non-linearity is introduced to the model using the ReLU function.

Pooling


Dimensionality of feature maps is reduced to enhance efficiency.

Multiple Layers


Additional convolutional and pooling layers extract higher-level features.

Flattening
The pooled feature maps are converted into a single vector.

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