ch_05 typos (#279)
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"cell_type": "markdown",
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"> warning: Confusing Name, Beware: The nll in `nll_loss` stands for \"negative log likelihood,\" but it doesn't actually take the log at all! It assumes you have _already_ taken the log. PyTorch has a function called `log_softmax` that combines `log` and `softmax` in a fast and accurate way. `nll_loss` is deigned to be used after `log_softmax`."
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"> warning: Confusing Name, Beware: The nll in `nll_loss` stands for \"negative log likelihood,\" but it doesn't actually take the log at all! It assumes you have _already_ taken the log. PyTorch has a function called `log_softmax` that combines `log` and `softmax` in a fast and accurate way. `nll_loss` is designed to be used after `log_softmax`."
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{
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"1. Why do we first resize to a large size on the CPU, and then to a smaller size on the GPU?\n",
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"1. If you are not familiar with regular expressions, find a regular expression tutorial, and some problem sets, and complete them. Have a look on the book's website for suggestions.\n",
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"1. What are the two ways in which data is most commonly provided, for most deep learning datasets?\n",
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"1. Look up the documentation for `L` and try using a few of the new methods is that it adds.\n",
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"1. Look up the documentation for `L` and try using a few of the new methods that it adds.\n",
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"1. Look up the documentation for the Python `pathlib` module and try using a few methods of the `Path` class.\n",
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"1. Give two examples of ways that image transformations can degrade the quality of the data.\n",
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"1. What method does fastai provide to view the data in a `DataLoaders`?\n",
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