@@ -64,7 +64,7 @@ As can be seen from the graph, the decreasing trend in the graph is due to the f
-`mlp.png`: refers to the MLP neural network, it represents the plot of the training accuracies evolution along 100 epochs
The accuracy returned by the model has an increasing trend starting at about 10 %, which is understandable given the presence of 10 classes and thus the network let's say that at the beginning it tries to guess the class, while as the epochs advance and the layer weights and biases are updated step by step, we notice an improvement up to 18 % of the 100th epoch, which given the low complexity of our network is an acceptable result.
The accuracy returned by the model has an increasing trend starting at about 10 %, which is understandable given the presence of 10 classes and thus the network let's say that at the beginning it tries to guess the class, while as the epochs advance and the layer weights and biases are updated step by step, we notice an improvement up to 18 % of the 100th epoch, which given the low complexity of our network is an acceptable result.
