single-layer

the neural network used a single-layer perceptron for classification.

we designed a single-layer neural network to predict customer behavior.

the single-layer architecture proved surprisingly effective for this task.

the model employed a single-layer feedforward network.

a single-layer approach was sufficient for the initial analysis.

the researchers experimented with a single-layer convolutional network.

the system utilized a single-layer recurrent network for time series data.

we compared its performance to a multi-layer architecture.

the single-layer model was easier to train and debug.

the initial experiment involved a simple single-layer structure.

the dataset was small enough to effectively train a single-layer model.