cpu_version/activationFuncitons/sigmoid library
Classes
- Sigmoid
- The Sigmoid activation function.
- SigmoidMatrix
- An activation function that applies the Sigmoid function to a Matrix.
- flutter_ml package
- documentation
- cpu_version/activationFuncitons/sigmoid.dart
flutter_ml package
- Libraries
- cpu_version/activationFuncitons/activationFunction
- cpu_version/activationFuncitons/elu
- cpu_version/activationFuncitons/leakyRelu
- cpu_version/activationFuncitons/mish
- cpu_version/activationFuncitons/relu
- cpu_version/activationFuncitons/sigmoid
- cpu_version/activationFuncitons/silu
- cpu_version/activationFuncitons/softmax
- cpu_version/cpu_version
- cpu_version/layertypes/averagePoolingLayer
- cpu_version/layertypes/batchNormalizationLayer
- cpu_version/layertypes/conv2D
- cpu_version/layertypes/convlstmLayer
- cpu_version/layertypes/denseLayer
- cpu_version/layertypes/dropoutLayer
- cpu_version/layertypes/dualLSTM
- cpu_version/layertypes/embeddingLayer
- cpu_version/layertypes/flattenLayer
- cpu_version/layertypes/globalAveragePoolingLayer
- cpu_version/layertypes/layer
- cpu_version/layertypes/lstmLayer
- cpu_version/layertypes/maxPoolingLayer
- cpu_version/layertypes/multiHeadAttentionLayer
- cpu_version/layertypes/multiLSTMLayer
- cpu_version/layertypes/normalizationLayer
- cpu_version/layertypes/positionalEncodingLayer
- cpu_version/layertypes/reluLayer
- cpu_version/layertypes/rnnLayer
- cpu_version/layertypes/singleHeadAttentionLayer
- cpu_version/layertypes/transformer
- cpu_version/layertypes/transformerEncodingLayer
- cpu_version/networks/SNetwork
- cpu_version/optimizers/adagrad
- cpu_version/optimizers/adam
- cpu_version/optimizers/adamw
- cpu_version/optimizers/amsgrad
- cpu_version/optimizers/nag
- cpu_version/optimizers/optimizer
- cpu_version/optimizers/rmsprop
- cpu_version/optimizers/sgd
- cpu_version/optimizers/sgdmomentum
- cpu_version/optimizers/testoptimizers
- full_library
- gpu_version/ffi/commandBuffer
- gpu_version/ffi/cudaEngine
- gpu_version/ffi/ffi
- gpu_version/ffi/OpCodes
- gpu_version/ffi/tapeDecoder
- gpu_version/gpu_version
- gpu_version/optimizer/optimizer
- gpu_version/optimizer/SGD
- gpu_version/SNetworkGPU
- gpu_version/tapelayertypes/averagePoolingTapeLayer
- gpu_version/tapelayertypes/batchNormalizationTapeLayer
- gpu_version/tapelayertypes/conv2DTapeLayer
- gpu_version/tapelayertypes/convLSTMTapeLayer
- gpu_version/tapelayertypes/denseTapeLayer
- gpu_version/tapelayertypes/dropoutTapeLayer
- gpu_version/tapelayertypes/dualLSTMTapeLayer
- gpu_version/tapelayertypes/embeddingTapeLayer
- gpu_version/tapelayertypes/flattenTapeLayer
- gpu_version/tapelayertypes/geluTapeLayer
- gpu_version/tapelayertypes/globalAveragePoolingTapeLayer
- gpu_version/tapelayertypes/layerNormalizationTapeLayer
- gpu_version/tapelayertypes/LSTMTapeLayer
- gpu_version/tapelayertypes/maxPoolingTapeLayer
- gpu_version/tapelayertypes/multiHeadAttentionTapeLayer
- gpu_version/tapelayertypes/positionalEncodingTapeLayer
- gpu_version/tapelayertypes/reluTapeLayer
- gpu_version/tapelayertypes/rnnTapeLayer
- gpu_version/tapelayertypes/sigmoidMatrixTapeLayer
- gpu_version/tapelayertypes/singleHeadAttentionTapeLayer
- gpu_version/tapelayertypes/tapeLayer
- gpu_version/tapelayertypes/transformerEncoderBlockTapeLayer
- logger
- tensor/safeTensorExporter
- tensor/safeTensorLoader
- tensor/tensor
- tensor/tensor_cpu_gpu
- tensor/tensor_gpu
- tensor/tensor_math_cpu
- tensor/tensor_math_gpu
- tensor/type_Aliases
- testtensorspeed