# Neural Network Training Task

(Redirected from neural-network learning task)

A Neural Network Training Task is a model-based training task that is a neural network creation task (that can produce an artificial neural network).

**Context:****output:**Neural Network Model Instance.- It can be solved by a ANN Training System (that implements an ANN training algorithm).
- It can range from being Single-Layer Neural Network Training to being Multi-Layer Neural Network Training.
- It can range from being an ANN Classifier Training Task to being an ANN Ranker Training Task to being an ANN Estimator Training Task.
- It can range from (typically) being a Data-Driven Neural Network Training Task to being a Heuristic Neural Network Training Task.

**Example(s):****Counter-Example(s):****See:**Neural Network Training Algorithm.

## References

### 2014

- http://deeplearning.stanford.edu/wiki/index.php/Backpropagation_Algorithm
- QUOTE: Suppose we have a fixed training set [math]\{ (x^{(1)}, y^{(1)}), \ldots, (x^{(m)}, y^{(m)}) \}[/math] of [math]m[/math] training examples. We can train our neural network using batch gradient descent ...