hw1: final touch on training procedure description

.gitignore

@@ -422,3 +422,5 @@ TSWLatexianTemp*
 # option is specified. Footnotes are the stored in a file with suffix Notes.bib.
 # Uncomment the next line to have this generated file ignored.
 #*Notes.bib
+
+*.zip

as1_Maggioni_Claudio/report_Maggioni_Claudio.md

@@ -112,6 +112,9 @@ The model I've chosen is a feed-forward neural network with 2 hidden layers:
 Finally, the output neuron has a linear activation function. As described
 before, the validation set was used to manually tailor the NNs architecture.
 
+The network was trained using the `adam` optimizer with 5000 maximum number of
+epochs and with an early stopping procedure that has a patience of 120 epochs.
+
 The fitted model has these final performance parameters:
 
 - Final MSE on validation set $\approx 0.0143344$