nets/snet library
Classes
- SNetwork
- A sequential model that stacks layers linearly.
- flutter_ml package
- documentation
- nets/snet.dart
flutter_ml package
- Libraries
- activationFunctions/activation_funciton
- activationFunctions/elu
- activationFunctions/leakyRelu
- activationFunctions/mish
- activationFunctions/relu
- activationFunctions/sigmoid
- activationFunctions/silu
- activationFunctions/softmax
- autogradEngine/tensor
- diagnosysTools/logger
- examples/hemingshakes
- examples/stock_predict
- flutter_ml
- layertypes/averagePooling
- layertypes/batchNormalizationLayer
- layertypes/conv2d
- layertypes/convlstmLayer
- layertypes/denseLayer
- layertypes/dropout
- layertypes/duallstm
- layertypes/flattenLayer
- layertypes/layer
- layertypes/lstmLayer
- layertypes/maxPooling
- layertypes/multilstm
- layertypes/reluLayer
- layertypes/rnnLayer
- layertypes/singleHeadAttentionLayer
- layertypes/trendmodelLayer
- nets/snet
- optimizers/adagrad
- optimizers/adam
- optimizers/adamw
- optimizers/amsgrad
- optimizers/nag
- optimizers/optimizers
- optimizers/rmsprop
- optimizers/sgd
- optimizers/sgdmomentum
- transformer/embeddingLayer
- transformer/finalModel
- transformer/globalpoolingLayer
- transformer/layerNormalization
- transformer/multiHeadAttentionLayer
- transformer/positionalEncodingLayer
- transformer/transformer
- transformer/transformerEncodingLayer