Day3_overview.ipynb

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    "# Day 3 overview"
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    "## Objectives"
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    "* We'll be developing a DCNN from scratch to detect water in images of shoreline environments\n",
    "\n",
    "* You will work on your own dataset(s) (or a provided dataset) to apply ML and/or DL to your own image classification problems"
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    "### Training a DCNN from scratch in tensorflow\n",
    "* Setting up the model architecture\n",
    "* Preparing a test and train data set\n",
    "* Developing a training function and training the model\n",
    "* Testing the model\n",
    "* Multi-scalar prediction\n",
    "* Creating a water masker: global threshold versus generative model\n",
    "\n",
    "> Workbook: Day3/3.1.dcnn_scratch.ipynb"
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    "### Participants working on their own data sets\n",
    "* (Optional) Short presentation to the group on the image classification problem\n",
    "* Applying DL or ML classifier to an image classification problem\n",
    "* Working with ```dl_tools``` library\n",
    "* (Optional) Presentation of findings to the group"
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