faq - What should I do when my neural network doesn't ...
This verifies a few things. First, it quickly shows you that your model is able to learn by checking if your model can overfit your data. In my case, I constantly make silly mistakes of doing Dense(1,activation='softmax') vs Dense(1,activation='sigmoid') for binary predictions, and the first one gives garbage results.
DA: 80 PA: 73 MOZ Rank: 29