update logreg example

docs/make.jl

@@ -17,7 +17,7 @@ makedocs(modules=[Flux],
                     "Backends" => "apis/backends.md",
                     "Storing Models" => "apis/storage.md"],
                   "In Action" => [
-                    "Logistic Regression" => "examples/logreg.md",
+                    "Simple MNIST" => "examples/logreg.md",
                     "Char RNN" => "examples/char-rnn.md"],
                   "Contributing & Help"   => "contributing.md",
                   "Internals" => "internals.md"])

docs/src/examples/logreg.md

@@ -1,4 +1,4 @@
-# Logistic Regression with MNIST
+# Recognising MNIST Digits
 
 This walkthrough example will take you through writing a multi-layer perceptron that classifies MNIST digits with high accuracy.
 
@@ -40,7 +40,7 @@ m = Chain(
   Affine( 64), relu,
   Affine( 10), softmax)
 
-model = tf(m)
+model = mxnet(m) # Convert to MXNet
 ```
 
 We can try this out on our data already:

examples/MNIST.jl

@@ -10,13 +10,13 @@ m = Chain(
   Affine( 64), relu,
   Affine( 10), softmax)
 
-# Convert to TensorFlow
-model = tf(m)
+# Convert to MXNet
+model = mxnet(m)
 
 # An example prediction pre-training
 model(data[1][1])
 
-@time Flux.train!(model, train, test, η = 1e-4)
+Flux.train!(model, train, test, η = 1e-4)
 
 # An example prediction post-training
 model(data[1][1])