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colab_notebooks/Notebook07_CNNs_PyTorch.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/ssec/WAF_ML_Tutorial_Part2/blob/main/colab_notebooks/Notebook07_CNNs_PyTorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"\n",
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"### Primary Goal:\n",
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"Build and train a convolutional neural network\n",
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"#### Background\n",
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"Now that we have thoroughly discussed what a convolution is, here we will dive into training a convolutional neural network on the ```sub-sevir``` dataset.\n",
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"#### Step 0\n",
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"As with all of our notebooks, we will first install packages and grab data\n",
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"Note: downloading the data can take up to 15-20 mins depending on the server speed. Please be patient"
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"**Note: downloading the data can take up to 15-20 mins depending on the server speed. Please be patient**"
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"name": "python"
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"colab": {
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"provenance": []
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"provenance": [],
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"include_colab_link": true
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"kernelspec": {
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"name": "python3",

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