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-rw-r--r--tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb b/tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb
index c9f2b1ab9e..fddb624853 100644
--- a/tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb
+++ b/tensorflow/tools/docker/notebooks/3_mnist_from_scratch.ipynb
@@ -1149,7 +1149,7 @@
"\n",
"Here, we'll do some customizations depending on which graph we're constructing. `train_prediction` holds the training graph, for which we use cross-entropy loss and weight regularization. We'll adjust the learning rate during training -- that's handled by the `exponential_decay` operation, which is itself an argument to the `MomentumOptimizer` that performs the actual training.\n",
"\n",
- "The vaildation and prediction graphs are much simpler the generate -- we need only create copies of the model with the validation and test inputs and a softmax classifier as the output."
+ "The validation and prediction graphs are much simpler to generate -- we need only create copies of the model with the validation and test inputs and a softmax classifier as the output."
]
},
{