I am a newbie to neural network. i am using TensorFlow + Keras to model my neural network for classification of 12 logos. The model has 5 convolution layers.

I have trained a neural network model and got the following results.

with training,
loss = 0.0877   accuracy = 0.9780

with test data
loss = 0.0976   accuracy = 0.9646

1. Is this model good or does it overfits the data?

2. And how can i find out wether the model overfits the data or not?

after some help from replies i managed to draw two graphs from tensorboard data. and what funny is that,

1. val_acc is higher than training_acc
2. val_loss is lower than training_loss