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CHANGELOG.md

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+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
+
+
+## [0.1.0] - 01/02/2021
+
+### Added
+
+- Added flash_notebook examples ([#9](https://github.com/PyTorchLightning/pytorch-lightning/pull/9))
+
+### Changed
+
+### Fixed
+
+
+### Removed

flash_notebooks/finetuning/image_classification.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "inner-confusion",
+   "metadata": {},
+   "source": [
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyTorchLightning/lightning-flash/blob/master/flash_notebooks/finetuning/image_classification.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "stretch-hearts",
+   "metadata": {},
+   "source": [
+    "In this notebook, we'll go over the basics of lightning Flash by training a ImageClassifier on [Hymenoptera Dataset](https://www.kaggle.com/ajayrana/hymenoptera-data).\n",
+    "\n",
+    "---\n",
+    "  - Give us a ⭐ [on Github](https://www.github.com/PytorchLightning/pytorch-lightning/)\n",
+    "  - Check out [Flash documentation](https://lightning-flash.readthedocs.io/en/latest/)\n",
+    "  - Check out [Lightning documentation](https://pytorch-lightning.readthedocs.io/en/latest/)\n",
+    "  - Join us [on Slack](https://join.slack.com/t/pytorch-lightning/shared_invite/zt-f6bl2l0l-JYMK3tbAgAmGRrlNr00f1A)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "worldwide-request",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "! pip install lightning-flash"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "perfect-timber",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import flash\n",
+    "from flash.core.data import download_data\n",
+    "from flash.vision import ImageClassificationData, ImageClassifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "impaired-fraud",
+   "metadata": {},
+   "source": [
+    "### 1. Download the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "separated-intelligence",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "download_data(\"https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip\", 'data/')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "following-synthesis",
+   "metadata": {},
+   "source": [
+    "### 2. Load the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "moving-saturday",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "datamodule = ImageClassificationData.from_folders(\n",
+    "    train_folder=\"data/hymenoptera_data/train/\",\n",
+    "    valid_folder=\"data/hymenoptera_data/val/\",\n",
+    "    test_folder=\"data/hymenoptera_data/test/\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "independent-relationship",
+   "metadata": {},
+   "source": [
+    "###  3. Build the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "increased-vaccine",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = ImageClassifier(num_classes=datamodule.num_classes)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "narrative-samba",
+   "metadata": {},
+   "source": [
+    "###  4. Create the trainer. Run once on data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fifteen-manchester",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer = flash.Trainer(max_epochs=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "convertible-currency",
+   "metadata": {},
+   "source": [
+    "###  5. Train the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "portable-geneva",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.finetune(model, datamodule=datamodule, unfreeze_milestones=(0, 1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "funky-methodology",
+   "metadata": {},
+   "source": [
+    "###  6. Test the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ambient-donna",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.test()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "missing-campaign",
+   "metadata": {},
+   "source": [
+    "###  7. Save it!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "advance-kruger",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainer.save_checkpoint(\"image_classification_model.pt\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "applicable-remedy",
+   "metadata": {},
+   "source": [
+    "<code style=\"color:#792ee5;\">\n",
+    "    <h1> <strong> Congratulations - Time to Join the Community! </strong>  </h1>\n",
+    "</code>\n",
+    "\n",
+    "Congratulations on completing this notebook tutorial! If you enjoyed it and would like to join the Lightning movement, you can do so in the following ways!\n",
+    "\n",
+    "### Help us build Flash by adding support for new data-types and new tasks.\n",
+    "Flash aims at becoming the first task hub, so anyone can get started to great amazing application using deep learning. \n",
+    "If you are interested, please open a PR with your contributions !!! \n",
+    "\n",
+    "\n",
+    "### Star [Lightning](https://github.com/PyTorchLightning/pytorch-lightning) on GitHub\n",
+    "The easiest way to help our community is just by starring the GitHub repos! This helps raise awareness of the cool tools we're building.\n",
+    "\n",
+    "* Please, star [Lightning](https://github.com/PyTorchLightning/pytorch-lightning)\n",
+    "\n",
+    "### Join our [Slack](https://join.slack.com/t/pytorch-lightning/shared_invite/zt-f6bl2l0l-JYMK3tbAgAmGRrlNr00f1A)!\n",
+    "The best way to keep up to date on the latest advancements is to join our community! Make sure to introduce yourself and share your interests in `#general` channel\n",
+    "\n",
+    "### Interested by SOTA AI models ! Check out [Bolt](https://github.com/PyTorchLightning/pytorch-lightning-bolts)\n",
+    "Bolts has a collection of state-of-the-art models, all implemented in [Lightning](https://github.com/PyTorchLightning/pytorch-lightning) and can be easily integrated within your own projects.\n",
+    "\n",
+    "* Please, star [Bolt](https://github.com/PyTorchLightning/pytorch-lightning-bolts)\n",
+    "\n",
+    "### Contributions !\n",
+    "The best way to contribute to our community is to become a code contributor! At any time you can go to [Lightning](https://github.com/PyTorchLightning/pytorch-lightning) or [Bolt](https://github.com/PyTorchLightning/pytorch-lightning-bolts) GitHub Issues page and filter for \"good first issue\". \n",
+    "\n",
+    "* [Lightning good first issue](https://github.com/PyTorchLightning/pytorch-lightning/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)\n",
+    "* [Bolt good first issue](https://github.com/PyTorchLightning/pytorch-lightning-bolts/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)\n",
+    "* You can also contribute your own notebooks with useful examples !\n",
+    "\n",
+    "### Great thanks from the entire Pytorch Lightning Team for your interest !\n",
+    "\n",
+    "<img src=\"https://github.com/PyTorchLightning/pytorch-lightning/blob/master/docs/source/_images/logos/lightning_logo-name.png?raw=true\" width=\"800\" height=\"200\" />"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}