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Adds alt text for images of equations in mnist beginners tutorial.

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Change: 152130650
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A. Unique TensorFlower 2017-04-04 06:48:56 -08:00 committed by TensorFlower Gardener
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commit af21dee78f
1 changed files with 4 additions and 2 deletions
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tensorflow/docs_src/get_started/mnist/beginners.md
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@ -208,7 +208,8 @@ the \\(x\\)s, add a bias, and then apply softmax.
If we write that out as equations, we get:
<div style="width:52%; margin-left:25%; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/softmax-regression-scalarequation.png">
<img style="width:100%" src="../../images/softmax-regression-scalarequation.png"
alt="[y1, y2, y3] = softmax(W11*x1 + W12*x2 + W13*x3 + b1, W21*x1 + W22*x2 + W23*x3 + b2, W31*x1 + W32*x2 + W33*x3 + b3)">
</div>
We can "vectorize" this procedure, turning it into a matrix multiplication
@ -216,7 +217,8 @@ and vector addition. This is helpful for computational efficiency. (It's also
a useful way to think.)
<div style="width:50%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src="../../images/softmax-regression-vectorequation.png">
<img style="width:100%" src="../../images/softmax-regression-vectorequation.png"
alt="[y1, y2, y3] = softmax([[W11, W12, W13], [W21, W22, W23], [W31, W32, W33]]*[x1, x2, x3] + [b1, b2, b3])">
</div>
More compactly, we can just write: