api
org.
jetbrains.
kotlinx.
dl.
api.
core
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
Sign
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
Sign
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.
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
Layer
No
Gradients
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
Conv2D
Conv3D
Conv
Padding
FULL
SAME
VALID
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
Concatenate
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
Metrics
ACCURACY
MAE
MSE
MSLE
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
reshape2DTo1D()
reshape3DTo1D()
reshape4DTo1D()
tail()
Tensor
Shape
org.
jetbrains.
kotlinx.
dl.
api.
core.
summary
format()
Layer
Summary
log()
log
Summary()
Model
Summary
print()
print
Summary()
org.
jetbrains.
kotlinx.
dl.
api.
core.
util
load
Image
Net
Class
Labels()
predict
Top
NLabels()
serialize
Labels
To
Buffer()
serialize
To
Buffer()
TF
org.
jetbrains.
kotlinx.
dl.
api.
extension
argmax()
convert
Tensor
To
Flatten
Float
Array()
convert
Tensor
To
Multi
Dim
Array()
get2D()
get3D()
set2D()
set3D()
org.
jetbrains.
kotlinx.
dl.
api.
inference
Inference
Model
Tensor
Flow
Inference
Model
org.
jetbrains.
kotlinx.
dl.
api.
inference.
facealignment
Landmark
org.
jetbrains.
kotlinx.
dl.
api.
inference.
imagerecognition
Image
Recognition
Model
org.
jetbrains.
kotlinx.
dl.
api.
inference.
keras
Layer
Batch
Norm
Paths
Layer
Conv
Or
Dense
Paths
Layer
Paths
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.
keras.
loaders
caffe
Style
Preprocessing()
Input
Type
CAFFE
TF
TORCH
Loading
Mode
OVERRIDE_IF_EXISTS
SKIP_LOADING_IF_EXISTS
Model
Hub
Model
Type
predict
Top5Image
Net
Labels()
predict
Top
KImage
Net
Labels()
prepare
Image
Net
Human
Readable
Class
Labels()
preprocess
Input()
reshape
Input()
TFModel
Hub
TFModels
torch
Style
Preprocessing()
org.
jetbrains.
kotlinx.
dl.
api.
inference.
objectdetection
Detected
Object
org.
jetbrains.
kotlinx.
dl.
api.
inference.
savedmodel
Input
PLACEHOLDER
Output
ARGMAX
Saved
Model
org.
jetbrains.
kotlinx.
dl.
dataset
build
String
Repr()
cifar10Paths()
dogs
Cats
Dataset
Path()
dogs
Cats
Small
Dataset
Path()
fashion
Mnist()
free
Spoken
Digit
Dataset
Path()
free
Spoken
Digits()
FSDD_SOUND_DATA_SIZE
full
To
String()
mnist()
mnist3D()
MNIST_3D_DATASET
to
String()
org.
jetbrains.
kotlinx.
dl.
dataset.
handler
coco
Categories
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
NUMBER_OF_CLASSES
TEST_IMAGES_ARCHIVE
TEST_LABELS_ARCHIVE
TRAIN_IMAGES_ARCHIVE
TRAIN_LABELS_ARCHIVE
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessor
Sharpen
sharpen()
dataset
org.
jetbrains.
kotlinx.
dl.
dataset
Data
Batch
Dataset
On
Fly
Image
Dataset
On
Heap
Dataset
org.
jetbrains.
kotlinx.
dl.
dataset.
audio.
wav
Wav
File
Wav
File
Exception
Wav
File
Format
org.
jetbrains.
kotlinx.
dl.
dataset.
image
Color
Order
BGR
RGB
Image
Converter
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessor
Custom
Preprocessor
Image
Shape
load()
preprocess()
Preprocessing
Preprocessor
rescale()
Rescaling
Tensor
Preprocessing
transform
Image()
transform
Tensor()
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessor.
generator
Empty
Labels
From
Folders
Label
Generator
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessor.
image
crop()
Cropping
Image
Preprocessing
Image
Preprocessor
Image
Preprocessor
Base
Image
Saver
Interpolation
Type
BICUBIC
BILINEAR
NEAREST
Loading
Rendering
Speed
FAST
MEDIUM
SLOW
Resize
resize()
Rotate
rotate()
Save
save()
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
lenet
With
Alternative
Loss
Function()
lenet
With
Early
Stopping
Callback()
lenet
With
Time
Stopping
Callback()
main()
modern
Lenet
With
Regularizers()
examples.
custom
Custom
Callback
lenet
Mnist
With
Custom
Callback()
main()
examples.
dataset
Image
Panel
main()
examples.
experimental.
batchnorm
get
JSONConfig
File()
get
Weights
File()
main()
examples.
inference
lenet5()
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()
main()
prepare
Dataset()
sine
Regression()
examples.
onnx.
cv
run
Image
Recognition
Prediction()
examples.
onnx.
cv.
custom
main()
resnet50additional
Training()
resnet50Custom
Prediction()
examples.
onnx.
cv.
efficicentnet
efficient
Net4Lite
Prediction()
main()
examples.
onnx.
cv.
resnet
main()
resnet18easy
Prediction()
resnet18prediction()
examples.
onnx.
faces
main()
visualise
Land
Marks()
examples.
onnx.
mnist
main()
examples.
onnx.
objectdetection.
ssd
main()
object
Detection
SSD()
prediction
SSD()
examples.
transferlearning
get
File
From
Resource()
run
Image
Recognition
Prediction()
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()
resnet50copy
Model
Prediction()
resnet50easy
Prediction()
resnet50easy
Prediction2()
resnet50Prediction()
examples.
transferlearning.
modelhub.
vgg16
main()
vgg16prediction()
examples.
transferlearning.
modelhub.
vgg19
main()
vgg19additional
Training()
vgg19copy
Model
Prediction()
vgg19prediction()
examples.
transferlearning.
toyresnet
get
Toy
Res
Net
JSONConfig
File()
get
Toy
Res
Net
Weights
File()
main()
examples.
visualization
main()
onnx
org.
jetbrains.
kotlinx.
dl.
api.
inference.
loaders
ONNXModel
Hub
org.
jetbrains.
kotlinx.
dl.
api.
inference.
onnx
Onnx
Inference
Model
ONNXModels
org.
jetbrains.
kotlinx.
dl.
api.
inference.
onnx.
facealignment
Fan2D106Face
Alignment
Model
org.
jetbrains.
kotlinx.
dl.
api.
inference.
onnx.
objectdetection
SSDObject
Detection
Model
org.
jetbrains.
kotlinx.
dl.
dataset.
preprocessor
onnx()
ONNXModel
Preprocessor
Transpose
transpose()
visualization
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
Conv2d
JPanel1
Detected
Object
JPanel
draw
Activations()
draw
Detected
Objects()
draw
Filters()
draw
Land
Marks()
draw
Raw
Land
Marks()
Images
JPanel3
Land
Marks
JPanel
Raw
Land
Marks
JPanel
Relu
Graphics
Relu
Graphics2
dataset
/
org.jetbrains.kotlinx.dl.dataset.image
/
ImageConverter
Image
Converter
class
ImageConverter
Content copied to clipboard
Helper class to convert images to
FloatArray
.
Types
Constructors
Constructors
ImageConverter
Link copied to clipboard
fun
ImageConverter
()
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Types
Companion
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object
Companion
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