Class Hierarchy
- java.lang.Object
- com.aidenfavish.javaNeuralNetwork.ActivationFunctions.ActivationELU (implements com.aidenfavish.javaNeuralNetwork.Layers.LayerPass)
- com.aidenfavish.javaNeuralNetwork.ActivationFunctions.ActivationReLU (implements com.aidenfavish.javaNeuralNetwork.Layers.LayerPass)
- com.aidenfavish.javaNeuralNetwork.ActivationFunctions.ActivationSoftMax (implements com.aidenfavish.javaNeuralNetwork.Layers.LayerPass)
- com.aidenfavish.javaNeuralNetwork.Loss.ActivationSoftMaxCCE (implements com.aidenfavish.javaNeuralNetwork.Layers.LayerPass)
- com.aidenfavish.javaNeuralNetwork.Optimizers.AdamOptimizer (implements com.aidenfavish.javaNeuralNetwork.Optimizers.Optimizer)
- com.aidenfavish.javaNeuralNetwork.Layers.LayerDense (implements com.aidenfavish.javaNeuralNetwork.Layers.LayerPass)
- com.aidenfavish.javaNeuralNetwork.Loss.Loss
- com.aidenfavish.javaNeuralNetwork.Resources.Matrix2D
- com.aidenfavish.javaNeuralNetwork.Models.Model
- com.aidenfavish.javaNeuralNetwork.Resources.Random
- com.aidenfavish.javaNeuralNetwork.Models.RLModel
Interface Hierarchy
- com.aidenfavish.javaNeuralNetwork.Layers.LayerPass
- com.aidenfavish.javaNeuralNetwork.Resources.Operation
- com.aidenfavish.javaNeuralNetwork.Optimizers.Optimizer