mnist/4_mnist_train.ipynb

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    "# PyTorch MNIST example dissected\n",
    "\n",
    "In this notebook we'll explore the components of the\n",
    "[PyTorch MNIST example](https://github.com/pytorch/examples/tree/master/mnist)\n",
    "one-by-one.\n",
    "\n",
    "* Part 1: [Loading the data](1_mnist_load.ipynb)\n",
    "* Part 2: [Model components and forward propagation](2_mnist_model.ipynb)\n",
    "* Part 3: [Autodiff and backpropagation](3_mnist_backprop.ipynb)\n",
    "* Part 4: [Training the model](4_mnist_train.ipynb) <-- **you are here**\n",
    "* Part 5: [Visualizing the results](5_mnist_visualize.ipynb)"
   ]
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    "## 4. Training the model\n",
    "\n",
    "Now when we understan how the data is being propagated forward and backward through the layers of the neural net, we can finally train our model."
   ]
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