Comments (3)
ah sorry this is actually mentioned in the setup already:
https://github.com/Kotlin/kotlindl#how-to-configure-kotlindl-in-your-project
don't know why I missed that, maybe add a back-reference in the guide still?
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Great idea @grexe will improve during this release cycle
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Complete rookie here
I just spent couple of hours trying to figure out the tutorial. Following code works only with org.jetbrains.kotlinx:kotlin-deeplearning-api:0.4.0 dependency or below. And in stable version (currently 0.5.2) Sequential model is absent. Or I'm missing out how to reach it.
val model = Sequential.of(
Input(28,28,1),
Flatten(),
Dense(300),
Dense(100),
Dense(10)
)
Anyway, I'm just following steps of quick_start_guide.md
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Related Issues (20)
- Create tests for ONNX module for easy version upgrade HOT 1
- Visualization in example EfficientDetD2LightAPIwithVisualization.kt is broken HOT 3
- Upgrade Lets Plot For Swing/Batik to 3.1.0
- Upgrade Readme.md and Release Check List documentation HOT 1
- FloatArray to bitmap on Android HOT 1
- Add to documentation chapter in Readme links to the video/slides from 2023
- Dual head network like AlphaZero HOT 3
- Gradle Run Task Fails with SIGILL error in libtensorflow_framework.1.dylib HOT 1
- Upgrade ONNX version to 1.16.0
- Convert ONNX models to new opset version (at least 1.18)
- Upgrade kotlin-logging library HOT 1
- Add missed examples to test suites in examples module
- Support for Tensorflow 2.4 HOT 1
- Question
- Prepare a list of all supported models, hosted on S3
- TensorFlow problem: TensorFlow native library HOT 4
- Update Dataset type to support multilabel datasets HOT 1
- Why does drawObject accept coordinates of DetectedObject that are normalized? HOT 1
- Multiple outputs HOT 3
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