convolutional neural network
convolutional layer
using convolutional filters
convolutional operation
convolutional architecture
convolutional features
convolutional model
with convolutional layers
convolutional processing
the convolutional neural network achieved high accuracy on the image classification task.
we used a 3x3 convolutional filter to extract features from the input image.
the convolutional layer is a key component of many modern deep learning architectures.
applying a convolutional operation involves sliding the filter across the input data.
the convolutional layer learned to detect edges and corners in the images.
we performed a convolutional operation to reduce the dimensionality of the data.
the architecture included multiple convolutional blocks for improved feature extraction.
the convolutional layer's output is a feature map representing detected patterns.
we experimented with different convolutional filter sizes to optimize performance.
the convolutional layer effectively captured spatial hierarchies in the data.
the model utilized a series of convolutional and pooling layers.
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