update MNIST example to julia 1.7 and resolve #210

Author: ablaom

examples/mnist/Manifest.toml

@@ -1,9 +1,7 @@
 [deps]
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
-Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
 MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
 MLJIteration = "614be32b-d00c-4edb-bd02-1eb411ab5e55"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"

examples/mnist/Project.toml

@@ -1,10 +1,9 @@
 # Contents
 
-- `mnist.ipynb`: Juptyer notebook
-- `mnist.jl`: executable Julia script annotated with comments
+- `notebook.ipynb`: Juptyer notebook
+- `notebook.jl`: executable Julia script annotated with comments
 
 # Important 
 
 Scripts or notebooks in this folder cannot be reliably exectued without the accompanying
-Manifest.toml and Project.toml files. If the Manifest.toml does not specify a
-`julia_version` in the first four lines, use Julia 1.6.x, where x is any integer.
+Manifest.toml and Project.toml files. 

examples/mnist/README.md

@@ -0,0 +1,4 @@
+# Execute this julia file to generate the notebooks from ../notebook.jl
+
+joinpath(@__DIR__, "..", "generate.jl") |> include
+generate(@__DIR__, execute=true, pluto=false)

examples/mnist/generate.jl

@@ -6,17 +6,15 @@ const DIR = @__DIR__
 Pkg.activate(DIR)
 Pkg.instantiate()
 
-# **Julia version** is assumed to be ^1.6
+# **Julia version** is assumed to be ^1.7
 
 using MLJ
 using Flux
 import MLJFlux
 import MLJIteration # for `skip`
 
-MLJ.color_off()
-
 using Plots
-pyplot(size=(600, 300*(sqrt(5)-1)));
+gr(size=(600, 300*(sqrt(5)-1)));
 
 # ## Basic training
 
@@ -230,7 +228,7 @@ fit!(mach, rows=1:500);
 
 plot(epochs, losses,
      xlab = "epoch",
-     ylab = "root squared error",
+     ylab = "cross entropy",
      label="out-of-sample")
 plot!(epochs, training_losses, label="training")
 
@@ -266,10 +264,7 @@ fit!(mach, rows=1:500)
 
 plot(epochs, losses,
      xlab = "epoch",
-     ylab = "root squared error",
+     ylab = "cross entropy",
      label="out-of-sample")
 plot!(epochs, training_losses, label="training")
 
-using Literate #src
-Literate.markdown(@__FILE__, @__DIR__, execute=false) #src
-Literate.notebook(@__FILE__, @__DIR__, execute=false) #src