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Move tutorials to notebooks
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README.md

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The latest KotlinDL version is 0.2.0.
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The latest stable KotlinDL version is 0.2.0.
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For more details, as well as for `pom.xml` and `build.gradle.kts` examples, please refer to the [Quick Start Guide](docs/quick_start_guide.md).
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For more details, as well as for `pom.xml` and `build.gradle.kts` examples, please refer to the
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[Quick Start Guide](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/quick_start_guide.ipynb).
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## Working with KotlinDL in Jupyter Notebook
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You can work with KotlinDL interactively in Jupyter Notebook with the Kotlin kernel. To do so, add the following dependency in your notebook:
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@file:DependsOn("org.jetbrains.kotlinx:kotlin-deeplearning-api:[KOTLIN-DL-VERSION]")
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```
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For more details on installing Jupyter Notebook and adding the Kotlin kernel, check out the [Quick Start Guide](docs/quick_start_guide.md).
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For more details on installing Jupyter Notebook and adding the Kotlin kernel, check out the
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[Quick Start Guide](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/quick_start_guide.ipynb).
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## Examples and tutorials
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You do not need to have any prior deep learning experience to start using KotlinDL.
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We are working on including extensive documentation to help you get started.
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At this point, please feel free to check out the following tutorials we have prepared:
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- [Quick Start Guide](docs/quick_start_guide.md)
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- [Creating your first neural network](docs/create_your_first_nn.md)
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- [Training a model](docs/training_a_model.md)
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- [Running inference with a trained model](docs/loading_trained_model_for_inference.md)
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- [Importing a Keras model](docs/importing_keras_model.md)
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- [Transfer learning](docs/transfer_learning.md)
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- [Quick Start Guide](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/quick_start_guide.ipynb)
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- [Creating your first neural network](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/create_your_first_nn.ipynb)
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- [Training a model](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/training_a_model.ipynb)
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- [Running inference with a trained model](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/loading_trained_model_for_inference.ipynb)
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- [Importing a Keras model](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/importing_keras_model.ipynb)
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- [Transfer learning](https://nbviewer.jupyter.org/github/avan1235/KotlinDL/blob/notebooks/docs/transfer_learning.ipynb)
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For more inspiration, take a look at the [code examples](examples) in this repo.
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binder/README.md

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This folder contains configuration files for Binder.
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It makes it possible to build the repository on [mybinder.org](mybinder.org) and
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view interactive KotlinDL demo notebooks on-line.

binder/apt.txt

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openjdk-8-jdk

binder/environment.yml

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name: kotlin-jupyter-demo
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dependencies:
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- kotlin-jupyter-kernel>=0.10.0.40
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- pip
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- python=3.7
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- pip:
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- tensorflow==1.15.0
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- keras==2.3.1
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channels:
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- jetbrains
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- conda-forge
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- defaults

binder/start

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#!/bin/bash
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export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
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exec "$@"

docs/CIFAR-10.ipynb

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