noun as in strong fondness

Word Combinations

Example:The counterpropagation network improved the accuracy of the classification model by effectively minimizing errors from both the input and teacher data.

Definition:A computing system inspired by the human brain that is capable of learning from patterns and recognizing new patterns without being explicitly programmed.

From neural network

Example:The counterpropagation technique enabled error minimization by separately adjusting the weights for input and teacher data.

Definition:The process of reducing the discrepancies between the output of a model and the expected output.

From error minimization

Example:The hidden layer in the counterpropagation network was crucial for the overall performance of the model.

Definition:A layer within a neural network that does not have connections to the outside world and combines inputs in different ways to pass on information to the output layer.

From hidden layer

Example:In the counterpropagation network, the forward pass involved computing the output based on input data propagated through the hidden layer.

Definition:A step in the execution of a neural network where the input data is propagated forward through the network to produce a prediction or output.

From forward pass

Example:The counterpropagation network's backward pass involved adjusting the hidden layer based on the error feedback from the teacher data.

Definition:A step in the backpropagation process where the model’s output is compared with the expected output to compute the error, which is then propagated backward to adjust the weights.

From backward pass