Index
! | Synapse.Tensors |
!? | Synapse.Tensors |
**. | Synapse.Tensors |
*. | Synapse.Tensors |
++ | Synapse.Tensors.Vec |
+. | Synapse.Tensors |
-. | Synapse.Tensors |
/. | Synapse.Tensors |
<-> | Synapse.Tensors.Mat |
<|> | Synapse.Tensors.Mat |
AbstractLayer | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
activateMat | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
activateScalar | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
Activation | |
1 (Type/Class) | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
ActivationFn | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
adamarMul | Synapse.Tensors.Mat |
addMatRow | Synapse.Tensors |
allGradients | Synapse.Autograd |
angleBetween | Synapse.Tensors.Vec |
BatchedDataset | Synapse.NN.Batching, Synapse.NN |
batchVectors | Synapse.NN.Batching, Synapse.NN |
buildSequentialModel | Synapse.NN.Models, Synapse.NN |
CallbackFnOnBatchBegin | Synapse.NN.Training, Synapse.NN |
CallbackFnOnBatchEnd | Synapse.NN.Training, Synapse.NN |
CallbackFnOnEpochBegin | Synapse.NN.Training, Synapse.NN |
CallbackFnOnEpochEnd | Synapse.NN.Training, Synapse.NN |
CallbackFnOnTrainBegin | Synapse.NN.Training, Synapse.NN |
CallbackFnOnTrainEnd | Synapse.NN.Training, Synapse.NN |
Callbacks | |
1 (Type/Class) | Synapse.NN.Training, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Training, Synapse.NN |
callbacksOnBatchBegin | Synapse.NN.Training, Synapse.NN |
callbacksOnBatchEnd | Synapse.NN.Training, Synapse.NN |
callbacksOnEpochBegin | Synapse.NN.Training, Synapse.NN |
callbacksOnEpochEnd | Synapse.NN.Training, Synapse.NN |
callbacksOnTrainBegin | Synapse.NN.Training, Synapse.NN |
callbacksOnTrainEnd | Synapse.NN.Training, Synapse.NN |
centralize | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
clampMagnitude | Synapse.Tensors.Vec |
clampMax | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
clampMin | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
clampMinMax | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
colVec | Synapse.Tensors.Mat |
concat | Synapse.Tensors.Vec |
cons | Synapse.Tensors.Vec |
constants | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
Constraint | |
1 (Type/Class) | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
ConstraintFn | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
constSymbol | Synapse.Autograd |
cosineDecay | Synapse.NN.LearningRates, Synapse.NN |
Dataset | |
1 (Type/Class) | Synapse.NN.Batching, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Batching, Synapse.NN |
datasetSize | Synapse.NN.Batching, Synapse.NN |
Dense | |
1 (Type/Class) | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
denseBias | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
denseConstraints | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
denseRegularizers | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
denseWeights | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
det | Synapse.Tensors.Mat |
diagonal | Synapse.Tensors.Mat |
dot | Synapse.Tensors, Synapse.Tensors.Vec |
DType | Synapse.Tensors |
elementsMax | Synapse.Tensors |
elementsMin | Synapse.Tensors |
elementsProduct | Synapse.Tensors |
elementsSum | Synapse.Tensors |
elementwise | Synapse.Tensors.Mat |
ElementwiseScalarOps | Synapse.Tensors |
empty | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
emptyCallbacks | Synapse.NN.Training, Synapse.NN |
exponentialDecay | Synapse.NN.LearningRates, Synapse.NN |
extend | Synapse.Tensors.Mat |
extendSingleton | Synapse.Tensors |
flatten | Synapse.Tensors.Mat |
for | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
force | Synapse.Tensors.Mat |
forward | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
fromList | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
fromLists | Synapse.Tensors.Mat |
fromVec | Synapse.Tensors.Mat |
generate | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
getGradientsOf | Synapse.Autograd |
getParameters | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
glorotNormal | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
glorotUniform | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
Gradients | Synapse.Autograd |
heNormal | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
heUniform | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
Hyperparameters | |
1 (Type/Class) | Synapse.NN.Training, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Training, Synapse.NN |
hyperparametersBatchSize | Synapse.NN.Training, Synapse.NN |
hyperparametersDataset | Synapse.NN.Training, Synapse.NN |
hyperparametersEpochs | Synapse.NN.Training, Synapse.NN |
hyperparametersLearningRate | Synapse.NN.Training, Synapse.NN |
hyperparametersLoss | Synapse.NN.Training, Synapse.NN |
hyperparametersMetrics | Synapse.NN.Training, Synapse.NN |
identity | |
1 (Function) | Synapse.Tensors.Mat |
2 (Function) | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
imap | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
Index | Synapse.Tensors |
Indexable | Synapse.Tensors |
indexCol | Synapse.Tensors.Mat |
indexRow | Synapse.Tensors.Mat |
Initializer | |
1 (Type/Class) | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
InitializerFn | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
InputSize | |
1 (Type/Class) | Synapse.NN.Models, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Models, Synapse.NN |
inputSize | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
inverse | Synapse.Tensors.Mat |
inverseTimeDecay | Synapse.NN.LearningRates, Synapse.NN |
isSingleton | Synapse.Tensors |
isSubmatrix | Synapse.Tensors.Mat |
isTransposed | Synapse.Tensors.Mat |
join | Synapse.Tensors.Mat |
l1 | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
l2 | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
Layer | |
1 (Type/Class) | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
layerActivation | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
LayerConfiguration | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
layerDense | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
layerDenseWith | Synapse.NN.Layers.Dense, Synapse.NN.Layers, Synapse.NN |
layerPrefix | Synapse.NN.Models, Synapse.NN |
LearningRate | |
1 (Type/Class) | Synapse.NN.LearningRates, Synapse.NN |
2 (Data Constructor) | Synapse.NN.LearningRates, Synapse.NN |
LearningRateFn | Synapse.NN.LearningRates, Synapse.NN |
lecunNormal | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
lecunUniform | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
lerp | Synapse.Tensors.Vec |
linearCombination | Synapse.Tensors.Vec |
logcosh | Synapse.NN.Losses, Synapse.NN |
Loss | |
1 (Type/Class) | Synapse.NN.Losses, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Losses, Synapse.NN |
LossFn | Synapse.NN.Losses, Synapse.NN |
lossFnToMetricFn | Synapse.NN.Metrics, Synapse.NN |
mae | Synapse.NN.Losses, Synapse.NN |
magnitude | Synapse.Tensors.Vec |
map | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
mapCol | Synapse.Tensors.Mat |
mape | Synapse.NN.Losses, Synapse.NN |
mapRow | Synapse.Tensors.Mat |
Mat | Synapse.Tensors.Mat |
matMul | Synapse.Tensors, Synapse.Tensors.Mat |
MatOps | Synapse.Tensors |
mean | Synapse.Tensors |
Metric | |
1 (Type/Class) | Synapse.NN.Metrics, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Metrics, Synapse.NN |
MetricFn | Synapse.NN.Metrics, Synapse.NN |
minor | Synapse.Tensors.Mat |
mse | Synapse.NN.Losses, Synapse.NN |
msle | Synapse.NN.Losses, Synapse.NN |
nCols | Synapse.Tensors.Mat |
nElements | Synapse.Tensors.Mat |
nonNegative | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
norm | Synapse.Tensors |
normalized | Synapse.Tensors.Vec |
nParameters | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
nRows | Synapse.Tensors.Mat |
nthGradient | Synapse.Autograd |
nthPartialGradient | Synapse.Autograd |
ones | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
3 (Function) | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
Optimizer | Synapse.NN.Optimizers, Synapse.NN |
optimizerInitialParameters | Synapse.NN.Optimizers, Synapse.NN |
OptimizerParameters | Synapse.NN.Optimizers, Synapse.NN, Synapse.NN |
optimizerUpdateParameters | Synapse.NN.Optimizers, Synapse.NN |
optimizerUpdateStep | Synapse.NN.Optimizers, Synapse.NN |
orthogonal | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
orthogonalized | Synapse.Tensors.Mat |
outputSize | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
piecewiseConstantDecay | Synapse.NN.LearningRates, Synapse.NN |
polynomialDecay | Synapse.NN.LearningRates, Synapse.NN |
randomNormal | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
randomUniform | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
RecordedMetric | |
1 (Type/Class) | Synapse.NN.Training, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Training, Synapse.NN |
Regularizer | |
1 (Type/Class) | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
2 (Data Constructor) | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
RegularizerFn | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
relu | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
renameSymbol | Synapse.Autograd |
replicate | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
rowVec | Synapse.Tensors.Mat |
rref | Synapse.Tensors.Mat |
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 |
toLists | Synapse.Tensors.Mat |
train | Synapse.NN.Training, Synapse.NN |
transpose | Synapse.Tensors, Synapse.Tensors.Mat |
unActivation | Synapse.NN.Layers.Activations, Synapse.NN.Layers, Synapse.NN |
unConstraint | Synapse.NN.Layers.Constraints, Synapse.NN.Layers, Synapse.NN |
unDataset | Synapse.NN.Batching, Synapse.NN |
unGradients | Synapse.Autograd |
unInitializer | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
unLearningRate | Synapse.NN.LearningRates, Synapse.NN |
unLoss | Synapse.NN.Losses, Synapse.NN |
unMetric | Synapse.NN.Metrics, Synapse.NN |
unRecordedMetric | Synapse.NN.Training, Synapse.NN |
unRegularizer | Synapse.NN.Layers.Regularizers, Synapse.NN.Layers, Synapse.NN |
unsafeIndex | Synapse.Tensors |
unSequentialModel | Synapse.NN.Models, Synapse.NN |
unSingleton | Synapse.Tensors |
unSymbol | Synapse.Autograd |
unSymbolIdentifier | Synapse.Autograd |
unVec | Synapse.Tensors.Vec |
updateParameters | Synapse.NN.Layers.Layer, Synapse.NN.Layers, Synapse.NN |
Vec | |
1 (Type/Class) | Synapse.Tensors.Vec |
2 (Data Constructor) | Synapse.Tensors.Vec |
VecDataset | Synapse.NN.Batching, Synapse.NN |
VecOps | Synapse.Tensors |
wrt | Synapse.Autograd |
zeroes | |
1 (Function) | Synapse.Tensors.Vec |
2 (Function) | Synapse.Tensors.Mat |
3 (Function) | Synapse.NN.Layers.Initializers, Synapse.NN.Layers, Synapse.NN |
zip | Synapse.Tensors.Vec |
zipWith | Synapse.Tensors.Vec |