EX_Deep_Learning_with_PyTorch.ipynb

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    "Note: This notebook was completed as part of DataCamp's course by the same name.\n",
    "# Introduction to Deep Learning with PyTorch"
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    "import torch\n",
    "import torch.nn as nn\n",
    "import numpy as np\n",
    "import pandas as pd"
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    "### Neural Networks \n",
    "\n",
    "Let us see the differences between neural networks which apply `ReLU` and those which do not apply `ReLU`. We will prove that networks with multiple layers which do not contain non-linearity can be expressed as neural networks with one layer.The network and the shape of layers and weights is shown below.\n",
    "\n",
    "<img src='data/net1.png' width=\"400\" height=\"200\" align=\"center\"/>"
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    "<img src='data/whats_for_dinner.png' width=\"400\" height=\"200\" align=\"center\"/>"
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