Training the Neural Network went OK. It was able to learn, it did generalize, but early on it was unstable and then had some mild overfitting. The Train loss shows that it had good optimization, but the Val loss showed that it had unstabel learning. It did converge downard though, so that is good. The way the Train Accuracy shot up so quickly , but the Val acc climbed steadily shows that it isn’t memorizing but actually learning the patterns.