Xavier initialization

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:spacecraft
gptkbp:aimsTo	maintain variance
gptkbp:appliesTo	weights
gptkbp:designedBy	gptkb:Xavier_Glorot
https://www.w3.org/2000/01/rdf-schema#label	Xavier initialization
gptkbp:isAttendedBy	researchers practitioners
gptkbp:isAvenueFor	fully connected layers convolutional layers
gptkbp:isConsidered	best practice
gptkbp:isDiscussedIn	research papers machine learning courses
gptkbp:isEvaluatedBy	performance metrics
gptkbp:isExaminedBy	tutorials documentation
gptkbp:isInfluencedBy	network architecture activation functions layer depth
gptkbp:isLocatedIn	gptkb:PyTorch TensorFlow
gptkbp:isPartOf	model training process random initialization model optimization training strategies normal initialization uniform initialization
gptkbp:isRecognizedFor	ReLU activation function sigmoid activation function tanh activation function
gptkbp:isRelatedTo	hyperparameter tuning loss functions backpropagation gradient descent
gptkbp:isSimilarTo	He initialization
gptkbp:isUsedIn	computer vision deep learning natural language processing transformers reinforcement learning transfer learning graph neural networks generative models autoencoders adversarial networks reinforcement learning algorithms sequence models
gptkbp:isUtilizedIn	experiments benchmarks
gptkbp:offersServices	weights based on fan-in and fan-out
gptkbp:previouslyKnownAs	Glorot initialization
gptkbp:usedFor	neural networks
gptkbp:works	exploding gradients vanishing gradients