Index

A

Adam (class in fhez.nn.optimiser.adam) adaptation() (fhez.nn.traverse.firing.Firing method) alpha (fhez.nn.optimiser.adam.Adam property)

ANN (class in fhez.nn.layer.ann) Argmax (class in fhez.nn.activation.argmax) axis (fhez.nn.operations.rotate.Rotate property)

B

b (fhez.nn.layer.ann.ANN property) (fhez.nn.operations.cc.CC property) backward() (fhez.nn.activation.argmax.Argmax method) (fhez.nn.activation.linear.Linear method) (fhez.nn.activation.relu.RELU method) (fhez.nn.activation.sigmoid.Sigmoid method) (fhez.nn.activation.softmax.Softmax method) (fhez.nn.graph.node.Node method) (fhez.nn.layer.ann.ANN method) (fhez.nn.loss.cce.CCE method) (fhez.nn.loss.loss.Loss method) (fhez.nn.loss.mae.MAE method) (fhez.nn.loss.mse.MSE method) (fhez.nn.nn.NeuralNetwork method) (fhez.nn.operations.cc.CC method) (fhez.nn.operations.decrypt.Decrypt method) (fhez.nn.operations.dequeue.Dequeue method) (fhez.nn.operations.encrypt.Encrypt method) (fhez.nn.operations.enqueue.Enqueue method) (fhez.nn.operations.one_hot_decode.OneHotDecode method) (fhez.nn.operations.one_hot_encode.OneHotEncode method) (fhez.nn.operations.rotate.Rotate method) (fhez.nn.operations.sum.Sum method)

backwards() (fhez.nn.graph.node.Node method) (fhez.nn.nn.NeuralNetwork method) beta_1 (fhez.nn.optimiser.adam.Adam property) beta_2 (fhez.nn.optimiser.adam.Adam property) bias (fhez.nn.layer.ann.ANN property) (fhez.nn.operations.cc.CC property)

C

c (fhez.nn.activation.linear.Linear property) cache (fhez.nn.graph.node.Node property) (fhez.nn.loss.loss.Loss property) (fhez.nn.optimiser.adam.Adam property) CategoricalCrossEntropy (in module fhez.nn.loss.cce) CC (class in fhez.nn.operations.cc) CCE (class in fhez.nn.loss.cce) correction() (fhez.nn.traverse.firing.Firing method) cost (fhez.nn.activation.argmax.Argmax property) (fhez.nn.activation.linear.Linear property) (fhez.nn.activation.relu.RELU property) (fhez.nn.activation.sigmoid.Sigmoid property) (fhez.nn.activation.softmax.Softmax property) (fhez.nn.graph.node.Node property) (fhez.nn.layer.ann.ANN property) (fhez.nn.loss.cce.CCE property) (fhez.nn.loss.mse.MSE property) (fhez.nn.operations.cc.CC property) (fhez.nn.operations.decrypt.Decrypt property) (fhez.nn.operations.dequeue.Dequeue property) (fhez.nn.operations.encrypt.Encrypt property) (fhez.nn.operations.enqueue.Enqueue property) (fhez.nn.operations.one_hot_decode.OneHotDecode property) (fhez.nn.operations.one_hot_encode.OneHotEncode property) (fhez.nn.operations.rotate.Rotate property) (fhez.nn.operations.sum.Sum property)

cost() (fhez.nn.loss.mae.MAE method)

D

Decrypt (class in fhez.nn.operations.decrypt) Dequeue (class in fhez.nn.operations.dequeue)

disable_cache() (fhez.nn.graph.node.Node method) (fhez.nn.loss.loss.Loss method)

E

enable_cache() (fhez.nn.graph.node.Node method) (fhez.nn.loss.loss.Loss method) Encrypt (class in fhez.nn.operations.encrypt)

encryptor (fhez.nn.operations.rotate.Rotate property) Enqueue (class in fhez.nn.operations.enqueue) epsilon (fhez.nn.optimiser.adam.Adam property)

F

fhez.nn.activation.softmax module fhez.nn.layer.ann module fhez.nn.layer.cnn module fhez.nn.loss.cce module fhez.nn.loss.loss module fhez.nn.loss.mae module fhez.nn.loss.mse module fhez.nn.operations.cc module fhez.nn.operations.decrypt module fhez.nn.operations.dequeue module fhez.nn.operations.encrypt module fhez.nn.operations.enqueue module fhez.nn.operations.one_hot_decode module fhez.nn.operations.one_hot_encode module fhez.nn.operations.rotate module

fhez.nn.operations.sum module fhez.nn.traverse.firing module Firing (class in fhez.nn.traverse.firing) flatten (fhez.nn.operations.rotate.Rotate property) forward() (fhez.nn.activation.argmax.Argmax method) (fhez.nn.activation.linear.Linear method) (fhez.nn.activation.relu.RELU method) (fhez.nn.activation.sigmoid.Sigmoid method) (fhez.nn.activation.softmax.Softmax method) (fhez.nn.graph.node.Node method) (fhez.nn.layer.ann.ANN method) (fhez.nn.loss.cce.CCE method) (fhez.nn.loss.loss.Loss method) (fhez.nn.loss.mae.MAE method) (fhez.nn.loss.mse.MSE method) (fhez.nn.nn.NeuralNetwork method) (fhez.nn.operations.cc.CC method) (fhez.nn.operations.decrypt.Decrypt method) (fhez.nn.operations.dequeue.Dequeue method) (fhez.nn.operations.encrypt.Encrypt method) (fhez.nn.operations.enqueue.Enqueue method) (fhez.nn.operations.one_hot_decode.OneHotDecode method) (fhez.nn.operations.one_hot_encode.OneHotEncode method) (fhez.nn.operations.rotate.Rotate method) (fhez.nn.operations.sum.Sum method) forwards() (fhez.nn.graph.node.Node method) (fhez.nn.nn.NeuralNetwork method)

G

g (fhez.nn.nn.NeuralNetwork property) GD (class in fhez.nn.optimiser.gd)

gradients (fhez.nn.graph.node.Node property) graph (fhez.nn.traverse.firing.Firing property)

H

harvest() (fhez.nn.traverse.firing.Firing method)

I

inputs (fhez.nn.graph.node.Node property) (fhez.nn.loss.loss.Loss property)

is_cache_enabled (fhez.nn.graph.node.Node property) (fhez.nn.loss.loss.Loss property)

L

length (fhez.nn.operations.dequeue.Dequeue property) (fhez.nn.operations.enqueue.Enqueue property) (fhez.nn.operations.one_hot_encode.OneHotEncode property) Linear (class in fhez.nn.activation.linear)

local_dfdq() (fhez.nn.activation.relu.RELU method) local_dfdx() (fhez.nn.activation.relu.RELU method) Loss (class in fhez.nn.loss.loss) loss() (fhez.nn.loss.cce.CCE method)

M

m (fhez.nn.activation.linear.Linear property) MAE (class in fhez.nn.loss.mae) module fhez.nn.activation.softmax fhez.nn.layer.ann fhez.nn.layer.cnn fhez.nn.loss.cce fhez.nn.loss.loss fhez.nn.loss.mae fhez.nn.loss.mse fhez.nn.operations.cc fhez.nn.operations.decrypt fhez.nn.operations.dequeue fhez.nn.operations.encrypt fhez.nn.operations.enqueue fhez.nn.operations.one_hot_decode fhez.nn.operations.one_hot_encode fhez.nn.operations.rotate fhez.nn.operations.sum fhez.nn.traverse.firing

momentum() (fhez.nn.optimiser.adam.Adam method) MSE (class in fhez.nn.loss.mse)

N

NeuralNetwork (class in fhez.nn.nn) NeuronalFiring (in module fhez.nn.traverse.firing)

NN (in module fhez.nn.nn) Node (class in fhez.nn.graph.node)

O

OneHotDecode (class in fhez.nn.operations.one_hot_decode) OneHotEncode (class in fhez.nn.operations.one_hot_encode)

optimise() (fhez.nn.optimiser.adam.Adam method) optimiser (fhez.nn.activation.linear.Linear property) (fhez.nn.graph.node.Node property)

P

parameters (fhez.nn.operations.encrypt.Encrypt property) (fhez.nn.operations.rotate.Rotate property) probe_shape() (fhez.nn.graph.node.Node method) (fhez.nn.nn.NeuralNetwork method) (fhez.nn.operations.cc.CC method) (fhez.nn.traverse.firing.Firing method)

provider (fhez.nn.operations.encrypt.Encrypt property) (fhez.nn.operations.rotate.Rotate property)

Q

q (fhez.nn.activation.relu.RELU property)

queue (fhez.nn.operations.dequeue.Dequeue property) (fhez.nn.operations.enqueue.Enqueue property)

R

ReCache (class in fhez.recache) RELU (class in fhez.nn.activation.relu)

ReScheme (class in fhez.rescheme) rmsprop() (fhez.nn.optimiser.adam.Adam method) Rotate (class in fhez.nn.operations.rotate)

S

schema (fhez.nn.activation.linear.Linear property) (fhez.nn.operations.cc.CC property) (fhez.nn.operations.one_hot_decode.OneHotDecode property) (fhez.nn.operations.one_hot_encode.OneHotEncode property) (fhez.nn.optimiser.adam.Adam property) Sigmoid (class in fhez.nn.activation.sigmoid)

sigmoid() (fhez.nn.activation.sigmoid.Sigmoid method) Softmax (class in fhez.nn.activation.softmax) stimulate() (fhez.nn.traverse.firing.Firing method) stride (fhez.nn.operations.cc.CC property) Sum (class in fhez.nn.operations.sum) sum_axis (fhez.nn.operations.rotate.Rotate property)

U

update() (fhez.nn.activation.argmax.Argmax method) (fhez.nn.activation.linear.Linear method) (fhez.nn.activation.relu.RELU method) (fhez.nn.activation.sigmoid.Sigmoid method) (fhez.nn.activation.softmax.Softmax method) (fhez.nn.graph.node.Node method) (fhez.nn.layer.ann.ANN method) (fhez.nn.loss.loss.Loss method) (fhez.nn.loss.mae.MAE method) (fhez.nn.loss.mse.MSE method) (fhez.nn.nn.NeuralNetwork method) (fhez.nn.operations.cc.CC method) (fhez.nn.operations.decrypt.Decrypt method) (fhez.nn.operations.dequeue.Dequeue method) (fhez.nn.operations.encrypt.Encrypt method) (fhez.nn.operations.enqueue.Enqueue method) (fhez.nn.operations.one_hot_decode.OneHotDecode method) (fhez.nn.operations.one_hot_encode.OneHotEncode method) (fhez.nn.operations.rotate.Rotate method) (fhez.nn.operations.sum.Sum method)

updater() (fhez.nn.graph.node.Node method) updates() (fhez.nn.activation.argmax.Argmax method) (fhez.nn.activation.linear.Linear method) (fhez.nn.activation.relu.RELU method) (fhez.nn.activation.sigmoid.Sigmoid method) (fhez.nn.activation.softmax.Softmax method) (fhez.nn.graph.node.Node method) (fhez.nn.layer.ann.ANN method) (fhez.nn.loss.loss.Loss method) (fhez.nn.loss.mae.MAE method) (fhez.nn.loss.mse.MSE method) (fhez.nn.nn.NeuralNetwork method) (fhez.nn.operations.cc.CC method) (fhez.nn.operations.decrypt.Decrypt method) (fhez.nn.operations.dequeue.Dequeue method) (fhez.nn.operations.encrypt.Encrypt method) (fhez.nn.operations.enqueue.Enqueue method) (fhez.nn.operations.one_hot_decode.OneHotDecode method) (fhez.nn.operations.one_hot_encode.OneHotEncode method) (fhez.nn.operations.rotate.Rotate method) (fhez.nn.operations.sum.Sum method)

W

w (fhez.nn.layer.ann.ANN property) (fhez.nn.operations.cc.CC property) weights (fhez.nn.layer.ann.ANN property) (fhez.nn.operations.cc.CC property)

windex() (fhez.nn.operations.cc.CC method) windex_to_slice() (fhez.nn.operations.cc.CC method) windows (fhez.nn.operations.cc.CC property)