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README.md

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@@ -2,7 +2,8 @@ These are solutions to the exercises up at the [Stanford OpenClassroom Deep Lear
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Apologies for the mess. I'll clean this up when I have some spare time. Pull requests welcome, of course.
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I've attempted to make this Octave compatible, so that you can run this with free software. I've done this through the self-taught learning exercise, and it seems to work, but the results are slightly different. One side effect of this is that I'm using [fminlbfgs instead of minFunc](http://ufldl.stanford.edu/wiki/index.php/Fminlbfgs_Details)
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I've attempted to make this Octave compatible, so that you can run this with free software. It seems to work, but the results are slightly different. One side effect of this is that I'm using [fminlbfgs instead of minFunc](http://ufldl.stanford.edu/wiki/index.php/Fminlbfgs_Details).
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Here's the order of the exercises:
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#### [Stanford OpenClassroom Deep Learning class](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)

julia/Figuring Out How to Plot.ipynb

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{
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 2,
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"prompt_number": 3,
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"text": [
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"10-element Array{Int64,1}:\n",
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" 1\n",
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]
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}
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],
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"prompt_number": 2
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"prompt_number": 3
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},
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{
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"cell_type": "code",
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"</svg>\n"
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],
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"text": [
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"Figure(PyObject <matplotlib.figure.Figure object at 0x112668850>)"
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"Figure(PyObject <matplotlib.figure.Figure object at 0x111d68850>)"
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]
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},
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{
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"prompt_number": 6,
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"text": [
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"1-element Array{Any,1}:\n",
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" PyObject <matplotlib.lines.Line2D object at 0x11544d250>"
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" PyObject <matplotlib.lines.Line2D object at 0x114d0d250>"
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]
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}
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],

julia/Logistic.ipynb

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],
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"prompt_number": 57
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Skipping the rest of this for now because it seems uninteresting"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 58
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},
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{
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"cell_type": "code",
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"collapsed": false,

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