Epochs Vs Pass Vs Iteration
There are many neural networks algorithms in unsupervised learning. As long as a cost function can be defined, so can "neural networks" be used.
For instance, there are for instance autoencoders, for dimensionality reduction, or Generative Adversarial Networks (so 2 networks, one generating new samples). All these are unsupervised learning, and still using neural networks.
What does the term epochs mean in the neural network.
How does it differ from pass and iteration