safeIndexCol | Synapse.Tensors.Mat |
safeIndexRow | Synapse.Tensors.Mat |
Sample | |
1 (Type/Class) | Synapse.NN.Batching, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Batching, Synapse.NN |
sampleInput | Synapse.NN.Batching, Synapse.NN |
sampleOutput | Synapse.NN.Batching, Synapse.NN |
SequentialModel | |
1 (Type/Class) | Synapse.NN.Models, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Models, Synapse.NN |
setSize | Synapse.Tensors.Mat |
SGD | |
1 (Type/Class) | Synapse.NN.Optimizers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Optimizers, Synapse.NN |
sgdMomentum | Synapse.NN.Optimizers, Synapse.NN |
sgdNesterov | Synapse.NN.Optimizers, Synapse.NN |
shrink | Synapse.Tensors.Mat |
shuffleDataset | Synapse.NN.Batching, Synapse.NN |
sigmoid | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
singleton | Synapse.Tensors, Synapse.Tensors.Vec, Synapse.Tensors.Mat |
SingletonOps | Synapse.Tensors |
size | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
snoc | Synapse.Tensors.Vec |
split | Synapse.Tensors.Mat |
splitAt | Synapse.Tensors.Vec |
splitDataset | Synapse.NN.Batching, Synapse.NN |
squaredMagnitude | Synapse.Tensors.Vec |
submatrix | Synapse.Tensors.Mat |
swapCols | Synapse.Tensors.Mat |
swapRows | Synapse.Tensors.Mat |
Symbol | |
1 (Type/Class) | Synapse.Autograd |
2 (Data Constructor) | Synapse.Autograd |
symbol | Synapse.Autograd |
symbolGradients | Synapse.Autograd |
Symbolic | Synapse.Autograd |
symbolicBinaryOp | Synapse.Autograd |
symbolicForward | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
symbolicN | Synapse.Autograd |
symbolicOne | Synapse.Autograd |
symbolicUnaryOp | Synapse.Autograd |
symbolicZero | Synapse.Autograd |
SymbolIdentifier | |
1 (Type/Class) | Synapse.Autograd |
2 (Data Constructor) | Synapse.Autograd |
symbolIdentifier | Synapse.Autograd |
SymbolMat | Synapse.Autograd |
SymbolVec | Synapse.Autograd |