Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:microprocessor
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Alpha_Go
|
| gptkbp:allows |
vanishing gradient problem
exploding gradient problem |
| gptkbp:analyzes |
directed acyclic graph
feedforward network |
| gptkbp:can_be |
training data
|
| gptkbp:coat_of_arms |
input layer
output layer hidden layer |
| gptkbp:developed_by |
gptkb:Frank_Rosenblatt
|
| gptkbp:established |
sigmoid
Re LU tanh |
| gptkbp:has_method |
weights
biases |
| https://www.w3.org/2000/01/rdf-schema#label |
multi-layer perceptron
|
| gptkbp:is_a_solution_for |
non-linear problems
|
| gptkbp:is_enhanced_by |
early stopping
regularization |
| gptkbp:is_evaluated_by |
ROC curve
accuracy confusion matrix precision and recall loss function |
| gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
gptkb:Keras gptkb:Library gptkb:Py_Torch |
| gptkbp:is_optimized_for |
learning rate
|
| gptkbp:is_part_of |
deep learning
|
| gptkbp:is_related_to |
gptkb:television_channel
recurrent neural network support vector machine |
| gptkbp:is_used_for |
gptkb:computer
regression dropout batch normalization |
| gptkbp:is_used_in |
gptkb:robot
financial forecasting image recognition natural language processing speech recognition supervised learning medical diagnosis game AI |
| gptkbp:requires |
labeled data
|
| gptkbp:training |
backpropagation
gradient descent stochastic gradient descent mini-batch gradient descent |