api
org.
jetbrains.
kotlinx.
dl.
api.
core.
metric
Metrics
ACCURACY
MAE
MSE
MSLE
org.
jetbrains.
kotlinx.
dl.
api.
core.
shape
get
Dims
Of
Array()
Tensor
Shape
tensor
Shape
to
Tensor
Shape()
org.
jetbrains.
kotlinx.
dl.
api.
inference
Flat
Shape
Inference
Model
org.
jetbrains.
kotlinx.
dl.
api.
inference.
facealignment
Landmark
org.
jetbrains.
kotlinx.
dl.
api.
inference.
loaders
AWS_S3_URL
Loading
Mode
OVERRIDE_IF_EXISTS
SKIP_LOADING_IF_EXISTS
Model
Hub
Model
Type
org.
jetbrains.
kotlinx.
dl.
api.
inference.
objectdetection
Detected
Object
org.
jetbrains.
kotlinx.
dl.
api.
inference.
posedetection
Detected
Pose
Multi
Pose
Detection
Result
Pose
Edge
Pose
Landmark
org.
jetbrains.
kotlinx.
dl.
api.
preprocessing
Identity
Operation
pipeline()
Preprocessing
Pipeline
org.
jetbrains.
kotlinx.
dl.
api.
summary
Cell
Empty
Summary
format
Line()
format
Table()
Model
Hub
Model
Summary
Model
Summary
Model
With
Summary
print()
print
Summary()
Section
Section
With
Columns
Simple
Section
Table
Row
dataset
org.
jetbrains.
kotlinx.
dl.
dataset
build
String
Repr()
Data
Batch
Data
Loader
Dataset
evaluate()
full
To
String()
On
Fly
Image
Dataset
On
Heap
Dataset
predict()
to
String()
org.
jetbrains.
kotlinx.
dl.
dataset.
audio.
wav
Wav
File
Wav
File
Exception
Wav
File
Format
org.
jetbrains.
kotlinx.
dl.
dataset.
embedded
cifar10Paths()
dogs
Cats
Dataset
Path()
dogs
Cats
Small
Dataset
Path()
extract
Cifar10Images()
extract
Cifar10Labels()
extract
Cifar10Labels
Ans
Sort()
extract
Fashion
Images()
extract
Fashion
Labels()
extract
Images()
extract
Labels()
FASHION_TEST_IMAGES_ARCHIVE
FASHION_TEST_LABELS_ARCHIVE
FASHION_TRAIN_IMAGES_ARCHIVE
FASHION_TRAIN_LABELS_ARCHIVE
fashion
Mnist()
free
Spoken
Digit
Dataset
Path()
free
Spoken
Digits()
FSDD_SOUND_DATA_SIZE
mnist()
mnist3D()
MNIST_3D_DATASET
NUMBER_OF_CLASSES
TEST_IMAGES_ARCHIVE
TEST_LABELS_ARCHIVE
TRAIN_IMAGES_ARCHIVE
TRAIN_LABELS_ARCHIVE
org.
jetbrains.
kotlinx.
dl.
dataset.
generator
Empty
Labels
From
Folders
Label
Generator
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessing
file
Loader()
input
Stream
Loader()
examples
[root]
Le
Net
Classic
examples.
cnn.
cifar10
main()
vgg()
examples.
cnn.
dogscats
main()
resnet50on
Dogs
Vs
Cats
Dataset()
examples.
cnn.
fashionmnist
main()
resnet50On
Fashion
Mnist
Dataset()
vgg()
examples.
cnn.
fsdd
main()
sound
Net()
examples.
cnn.
mnist
dense
Only()
lenet
Classic()
main()
modern
Lenet()
vgg()
examples.
cnn.
mnist.
advanced
Evaluate
Callback
lenet
With
Alternative
Loss
Function()
lenet
With
Early
Stopping
Callback()
lenet
With
Multiple
Callbacks()
lenet
With
Time
Stopping
Callback()
main()
modern
Lenet
With
Regularizers()
Predict
Callback
examples.
custom
Evaluation
Callback
Fit
Callback
lenet
Mnist
With
Custom
Callback()
main()
Predict
Callback
examples.
dataset
main()
examples.
experimental.
batchnorm
get
JSONConfig
File()
get
Weights
File()
main()
examples.
inference
lenet5()
examples.
inference.
cifar10
main()
vgg11On
Cifar10Export
Import()
examples.
inference.
fashionmnist
lenet
On
Fashion
Mnist
Export
Import
To
Txt()
main()
examples.
inference.
mnist
lenet
On
Mnist
Dataset
Export
Import
To
Txt()
lenet
On
Mnist
Export
Import
To
Json()
main()
examples.
inference.
optimizers
lenet
On
Mnist
Export
Import
To
JSONWith
Adam
Optimizer
State()
main()
examples.
inference.
savedmodel
lenet
On
Mnist
Inference()
lenet
On
Mnist
Inference
With
Tensor
Names()
main()
print
Out
Graph
Ops()
examples.
inference.
saveload
elu
Lenet
On
Mnist
With
Intermediate
Save()
main()
relu
Lenet
On
Mnist
With
Intermediate
Save()
Save
Trained
Model
Helper
examples.
ml
iris
Classification()
linear
Regression()
linear
Regression
With
Two
Metrics()
main()
prepare
Dataset()
sine
Regression()
examples.
onnx.
cv
preprocessing()
run
Image
Recognition
Prediction()
run
ONNXAdditional
Training()
run
ONNXImage
Recognition
Prediction()
examples.
onnx.
cv.
efficicentnet
efficient
Net4Lite
Prediction()
efficient
Net
B0Prediction()
main()
examples.
onnx.
cv.
efficicentnet.
lightAPI
efficient
Net
B0Easy
Prediction()
efficient
Net
B7Light
APIPrediction()
main()
examples.
onnx.
cv.
efficicentnet.
notop
efficient
Net
B0Additional
Training()
main()
examples.
onnx.
cv.
lenet
main()
examples.
onnx.
cv.
resnet
main()
resnet18Light
APIPrediction()
resnet18prediction()
examples.
onnx.
cv.
resnet.
notop
main()
resnet50additional
Training()
resnet50Custom
Prediction()
examples.
onnx.
executionproviders
cpu
Inference()
cuda
Inference()
main()
multi
Pose
Cuda
Inference()
prepare
Input
Data()
ssd
Cuda
Inference()
examples.
onnx.
faces
main()
examples.
onnx.
objectdetection.
efficientdet
main()
examples.
onnx.
objectdetection.
ssd
main()
ssd()
ssd
Light
API()
examples.
onnx.
objectdetection.
ssdmobile
main()
ssd
Mobile()
ssd
Mobile
Light
API()
examples.
onnx.
posedetection.
multipose
main()
multi
Pose
Detection
Move
Net()
multi
Pose
Detection
Move
Net
Light
API()
examples.
onnx.
posedetection.
singlepose
main()
pose
Detection
Move
Net()
pose
Detection
Move
Net
Light
API()
examples.
transferlearning
get
File
From
Resource()
run
Image
Recognition
Prediction()
run
Image
Recognition
Transfer
Learning()
run
Image
Recognition
Transfer
Learning
On
Top
Model()
examples.
transferlearning.
lenet
additional
Training()
additional
Training
And
Freezing()
additional
Training
And
New
Top
Dense
Layers()
additional
Training
And
Partial
Freezing
And
Partial
Initialization()
get
JSONConfig
File()
get
Weights
File()
load
Model
Without
Weights
Init
And
Evaluate()
load
Model
With
Weights
And
Evaluate()
main()
examples.
transferlearning.
modelhub.
densenet
dense
Net121Prediction()
dense
Net169Prediction()
dense
Net201Prediction()
main()
examples.
transferlearning.
modelhub.
inception
inception
V3Prediction()
main()
xception
Prediction()
examples.
transferlearning.
modelhub.
mobilenet
main()
mobile
Net
Prediction()
mobile
Net
V2Prediction()
mobilenet
With
Additional
Training()
examples.
transferlearning.
modelhub.
nasnet
main()
nas
Net
Large
Prediction()
nas
Net
Mobile
Prediction()
examples.
transferlearning.
modelhub.
resnet
main()
resnet50additional
Training()
resnet50additional
Training
No
Top
With
Helper()
resnet50additional
Training
With
Helper()
resnet50copy
Model
Prediction()
resnet50easy
Prediction()
resnet50easy
Prediction2()
resnet50no
Top
Additional
Training()
resnet50Prediction()
examples.
transferlearning.
modelhub.
vgg16
main()
vgg16no
Top
Additional
Training()
vgg16prediction()
examples.
transferlearning.
modelhub.
vgg19
main()
vgg19additional
Training()
vgg19copy
Model
Prediction()
vgg19prediction()
examples.
transferlearning.
toyresnet
main()
examples.
visualization
main()
impl
org.
jetbrains.
kotlinx.
dl.
impl.
dataset
Coco
V2014
V2017
coco
Categories2014
coco
Categories2017
Imagenet
V1001
V1k
imagenet
Labels
org.
jetbrains.
kotlinx.
dl.
impl.
inference.
imagerecognition
Image
Recognition
Model
Image
Recognition
Model
Base
Input
Type
CAFFE
TF
TORCH
predict
Top5Labels()
predict
Top
NLabels()
org.
jetbrains.
kotlinx.
dl.
impl.
preprocessing
call()
Convert
To
Float
Array
crop()
Float
Array
Operation
mean()
normalize()
Normalizing
on
Result()
rescale()
Rescaling
resize()
rotate()
std()
Tensor
Layout
NCHW
NHWC
to
Float
Array()
org.
jetbrains.
kotlinx.
dl.
impl.
preprocessing.
bitmap
Crop
Resize
Rotate
org.
jetbrains.
kotlinx.
dl.
impl.
preprocessing.
camerax
image
To
Byte
Buffer()
to
Bitmap()
org.
jetbrains.
kotlinx.
dl.
impl.
preprocessing.
image
arg
B8888To
NCHWArray()
arg
B8888To
NHWCArray()
Array
Transform
Center
Crop
center
Crop()
Color
Mode
BGR
GRAYSCALE
RGB
Convert
convert()
Convert
To
Float
Array
crop()
Cropping
decode
ARGB8888Pixel()
denormalize
Inplace()
grayscale()
Image
Converter
image
Type()
Interpolation
Type
BICUBIC
BILINEAR
NEAREST
pad()
Padding
Padding
Mode
Rendering
Speed
FAST
MEDIUM
SLOW
Resize
resize()
Rotate
rotate()
to
Float
Array()
org.
jetbrains.
kotlinx.
dl.
impl.
summary
log()
log
Summary()
org.
jetbrains.
kotlinx.
dl.
impl.
util
argmax()
flatten
Floats()
get2D()
get3D()
set2D()
set3D()
to
Normalized
Vector()
to
Raw
Vector()
onnx
org.
jetbrains.
kotlinx.
dl.
onnx.
dataset.
preprocessor
onnx()
ONNXModel
Preprocessor
Transpose
transpose()
org.
jetbrains.
kotlinx.
dl.
onnx.
inference
[android]ONNXModel
Hub
[android]ONNXModels
[jvm]ONNXModel
Hub
[jvm]ONNXModels
Camera
XCompatible
Model
do
With
Rotation()
Execution
Provider
Compatible
infer
And
Close
Using()
infer
Using()
Onnx
High
Level
Model
Onnx
Inference
Model
Onnx
Model
Summary
Onnx
Model
Type
Ort
Session
Result
Conversions
Variable
Summary
org.
jetbrains.
kotlinx.
dl.
onnx.
inference.
classification
Image
Recognition
Model
predict
Object()
predict
Top
KObjects()
org.
jetbrains.
kotlinx.
dl.
onnx.
inference.
executionproviders
Execution
Provider
org.
jetbrains.
kotlinx.
dl.
onnx.
inference.
facealignment
[android]Face
Detection
Model
[android]Fan2D106Face
Alignment
Model
[jvm]Face
Detection
Model
[jvm]Fan2D106Face
Alignment
Model
detect
Faces()
detect
Landmarks()
Face
Alignment
Model
Base
Face
Detection
Model
Base
org.
jetbrains.
kotlinx.
dl.
onnx.
inference.
objectdetection
detect
Objects()
Efficient
Det
Object
Detection
Model
Efficient
Det
Object
Detection
Model
Base
Object
Detection
Model
Base
SSDLike
Model
SSDLike
Model
Base
SSDLike
Model
Metadata
SSDMobile
Net
V1Object
Detection
Model
SSDObject
Detection
Model
org.
jetbrains.
kotlinx.
dl.
onnx.
inference.
posedetection
[android]Single
Pose
Detection
Model
[jvm]Single
Pose
Detection
Model
detect
Pose()
edge
Key
Points
Pairs
key
Points
Multi
Pose
Detection
Model
Multi
Pose
Detection
Model
Base
Single
Pose
Detection
Model
Base
tensorflow
org.
jetbrains.
kotlinx.
dl.
api.
core
freeze()
Functional
Graph
Trainable
Model
KGraph
Saving
Format
JSON_CONFIG_CUSTOM_VARIABLES
TF_GRAPH
TF_GRAPH_CUSTOM_VARIABLES
Sequential
Trainable
Model
Writing
Mode
APPEND
FAIL_IF_EXISTS
OVERRIDE
org.
jetbrains.
kotlinx.
dl.
api.
core.
activation
Activation
Activations
Elu
Exponential
Gelu
Hard
Shrink
Hard
Sigmoid
Linear
Li
SHT
Log
Softmax
Mish
Relu
Relu6
Selu
Sigmoid
Snake
Softmax
Soft
Plus
Soft
Shrink
Soft
Sign
Sparsemax
Swish
Tanh
Tanh
Shrink
Elu
Activation
Exponential
Activation
Gelu
Activation
Hard
Shrink
Activation
Hard
Sigmoid
Activation
Linear
Activation
Lisht
Activation
Log
Softmax
Activation
Mish
Activation
Relu6Activation
Relu
Activation
Selu
Activation
Sigmoid
Activation
Snake
Activation
Softmax
Activation
Soft
Plus
Activation
Soft
Shrink
Activation
Soft
Sign
Activation
Sparsemax
Activation
Swish
Activation
Tanh
Activation
Tanh
Shrink
Activation
org.
jetbrains.
kotlinx.
dl.
api.
core.
callback
Callback
Early
Stopping
Early
Stopping
Mode
AUTO
MAX
MIN
Terminate
On
Na
N
Time
Stopping
org.
jetbrains.
kotlinx.
dl.
api.
core.
dsl
functional()
Graph
Trainable
Model
Builder
invoke()
Layer
List
Builder
sequential()
org.
jetbrains.
kotlinx.
dl.
api.
core.
exception
Identity
Dimensionality
Exception
Repeatable
Layer
Name
Exception
org.
jetbrains.
kotlinx.
dl.
api.
core.
history
Batch
Event
Batch
Training
Event
Epoch
Training
Event
History
Training
History
org.
jetbrains.
kotlinx.
dl.
api.
core.
initializer
Constant
Distribution
TRUNCATED_NORMAL
UNIFORM
UNTRUNCATED_NORMAL
Glorot
Normal
Glorot
Uniform
He
Normal
He
Uniform
Identity
Initializer
Le
Cun
Normal
Le
Cun
Uniform
Mode
FAN_AVG
FAN_IN
FAN_OUT
Ones
Orthogonal
Parametrized
Truncated
Normal
Random
Normal
Random
Uniform
Truncated
Normal
Variance
Scaling
Zeros
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer
freeze()
initialize()
Initializer
Operation
initialize
Variables()
is
Trainable
KVariable
Layer
No
Gradients
param
Count
Parametrized
Layer
Trainable
Layer
unfreeze()
weights
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
activation
Abstract
Activation
Layer
ELU
Leaky
Re
LU
PRe
LU
Re
LU
Softmax
Thresholded
Re
LU
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
convolutional
Abstract
Conv
Conv1D
Conv1DTranspose
Conv2D
Conv2DTranspose
Conv3D
Conv3DTranspose
Conv
Padding
FULL
SAME
VALID
Conv
Transpose
Depthwise
Conv2D
Separable
Conv2D
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
core
Activation
Layer
Dense
Input
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
merge
Abstract
Merge
Add
Average
batch
Dot()
Concatenate
Dot
l2Normalize()
Maximum
Minimum
Multiply
Subtract
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
normalization
Batch
Norm
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
pooling
Avg
Pool1D
Avg
Pool2D
Avg
Pool3D
Global
Avg
Pool1D
Global
Avg
Pool2D
Global
Avg
Pool3D
Global
Max
Pool1D
Global
Max
Pool2D
Global
Max
Pool3D
Max
Pool1D
Max
Pool2D
Max
Pool3D
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
regularization
Dropout
org.
jetbrains.
kotlinx.
dl.
api.
core.
layer.
reshaping
Abstract
Cropping
Abstract
Up
Sampling
Abstract
Zero
Padding
Cropping1D
Cropping2D
Cropping3D
Flatten
Interpolation
Method
BICUBIC
BILINEAR
NEAREST
Permute
Repeat
Vector
Reshape
Up
Sampling1D
Up
Sampling2D
Up
Sampling3D
Zero
Padding1D
Zero
Padding2D
Zero
Padding3D
org.
jetbrains.
kotlinx.
dl.
api.
core.
loss
Binary
Cross
Entropy
Hinge
Huber
Log
Cosh
Losses
BINARY_CROSSENTROPY
HINGE
HUBER
LOG_COSH
MAE
MAPE
MSE
MSLE
POISSON
SOFT_MAX_CROSS_ENTROPY_WITH_LOGITS
SQUARED_HINGE
Loss
Function
MAE
MAPE
MSE
MSLE
Poisson
Reduction
Type
SUM
SUM_OVER_BATCH_SIZE
Softmax
Cross
Entropy
With
Logits
Squared
Hinge
org.
jetbrains.
kotlinx.
dl.
api.
core.
metric
Accuracy
Evaluation
Result
MAE
MAPE
Metric
MSE
MSLE
org.
jetbrains.
kotlinx.
dl.
api.
core.
model
resnet101()
resnet101Light()
resnet101v2()
resnet101v2Light()
resnet152()
resnet152Light()
resnet152v2()
resnet152v2Light()
resnet50()
resnet50Light()
resnet50v2()
resnet50v2Light()
vgg16()
vgg19()
org.
jetbrains.
kotlinx.
dl.
api.
core.
optimizer
Ada
Delta
Ada
Grad
Ada
Grad
DA
Adam
Adamax
Clip
Gradient
Action
Clip
Gradient
By
Norm
Clip
Gradient
By
Value
Ftrl
Momentum
No
Clip
Gradient
Optimizer
RMSProp
SGD
org.
jetbrains.
kotlinx.
dl.
api.
core.
regularizer
DEFAULT_PENALTY
L1
L2
L2L1
Regularizer
org.
jetbrains.
kotlinx.
dl.
api.
core.
shape
head()
tail()
to
Shape()
to
Tensor
Shape()
org.
jetbrains.
kotlinx.
dl.
api.
core.
summary
Layer
Summary
Tf
Model
Summary
org.
jetbrains.
kotlinx.
dl.
api.
core.
util
map
Of
Not
Null()
serialize
Labels
To
Buffer()
serialize
To
Buffer()
TF
org.
jetbrains.
kotlinx.
dl.
api.
extension
convert
Tensor
To
Flatten
Float
Array()
convert
Tensor
To
Multi
Dim
Array()
org.
jetbrains.
kotlinx.
dl.
api.
inference
Tensor
Flow
Inference
Model
org.
jetbrains.
kotlinx.
dl.
api.
inference.
keras
Layer
Batch
Norm
Paths
Layer
Conv
Or
Dense
Paths
Layer
Paths
Layer
PRe
LUPaths
Layer
Separable
Conv2DPaths
load
Weights()
load
Weights
By
Paths()
load
Weights
By
Path
Templates()
load
Weights
For
Frozen
Layers()
load
Weights
For
Frozen
Layers
By
Path
Templates()
Missed
Weights
Strategy
INITIALIZE
LOAD_CUSTOM_PATH
recursive
Print
Group
In
HDF5File()
save
Model
Configuration()
org.
jetbrains.
kotlinx.
dl.
api.
inference.
loaders
TFModel
Hub
TFModels
TFModel
Type
org.
jetbrains.
kotlinx.
dl.
api.
inference.
savedmodel
Input
PLACEHOLDER
Output
ARGMAX
Saved
Model
visualization
org.
jetbrains.
kotlinx.
dl.
visualization
bounds()
Detector
View
Base
draw
Landmark()
draw
Landmarks()
draw
Multiple
Poses()
draw
Object()
draw
Objects()
draw
Pose()
get
Preview
Image
Bounds()
Preview
Image
Bounds
org.
jetbrains.
kotlinx.
dl.
visualization.
letsplot
column
Plot()
filters
Plot()
flatten
Image
Plot()
model
Activation
On
Layers
Plot()
Plot
Feature
sound
Plot()
xy
Plot()
org.
jetbrains.
kotlinx.
dl.
visualization.
swing
Conv2d
JPanel
create
Detected
Landmarks
Panel()
create
Detected
Objects
Panel()
create
Detected
Pose
Panel()
create
Multiple
Detected
Poses
Panel()
draw
Activations()
draw
Filters()
Image
Panel
Relu
Graphics
Relu
Graphics2
show
Frame()
tensorflow
/
org.jetbrains.kotlinx.dl.api.core.util
/
TF
TF
class
TF
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Helper class that emulates Keras functions from tensorflow.keras.
Types
Constructors
Constructors
TF
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fun
TF
()
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Types
Companion
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object
Companion
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