FluxTraining
FluxTraining
is a module
Name | Kind |
---|---|
AbstractCallback
|
abstract type |
LearningRate
|
abstract type |
GarbageCollect
|
function |
SmoothLoss
|
function |
ToGPU
|
function |
accuracy
|
function |
epoch!
|
function |
fit!
|
function |
loadmodel
|
function |
onecycle
|
function |
savemodel
|
function |
step!
|
function |
throttle
|
function |
CancelEpochException
|
struct |
CancelFittingException
|
struct |
CancelStepException
|
struct |
Checkpointer
|
struct |
ConditionalCallback
|
struct |
CustomCallback
|
struct |
EarlyStopping
|
struct |
Learner
|
struct |
LogHistograms
|
struct |
LogHyperParams
|
struct |
LogMetrics
|
struct |
LogVisualization
|
struct |
Loss
|
struct |
Metric
|
struct |
Metrics
|
struct |
MetricsPrinter
|
struct |
ProgressPrinter
|
struct |
Recorder
|
struct |
SanityCheck
|
struct |
Scheduler
|
struct |
StopOnNaNLoss
|
struct |
TensorBoardBackend
|
struct |
ToDevice
|
struct |
The following pages link back here:
Custom callbacks, FluxTraining.jl, How to use callbacks, Tips & tricks, Training an image classifier, Training loop, imagenette_demo