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Diffstat (limited to 'tensorflow/g3doc/tutorials/mnist/beginners/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/mnist/beginners/index.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/g3doc/tutorials/mnist/beginners/index.md b/tensorflow/g3doc/tutorials/mnist/beginners/index.md index bcf3460c7a..f53531537b 100644 --- a/tensorflow/g3doc/tutorials/mnist/beginners/index.md +++ b/tensorflow/g3doc/tutorials/mnist/beginners/index.md @@ -136,9 +136,9 @@ that the evidence for a class \\(i\\) given an input \\(x\\) is: $$\text{evidence}_i = \sum_j W_{i,~ j} x_j + b_i$$ -where \\(W_i\\) is the weights and \\(b_i\\) is the bias for class \\(i\\), and \\(j\\) -is an index for summing over the pixels in our input image \\(x\\). We then -convert the evidence tallies into our predicted probabilities +where \\(W\_i\\) is the weights and \\(b\_i\\) is the bias for class \\(i\\), +and \\(j\\) is an index for summing over the pixels in our input image \\(x\\). +We then convert the evidence tallies into our predicted probabilities \\(y\\) using the "softmax" function: $$y = \text{softmax}(\text{evidence})$$ |