title: How to train large dataset on tensorflow 2.x
body: <p>I have a large dataset with about 2M rows and 6,000 columns. The input numpy array (X, y) can hold the training data okay. But when it goes to model.fit(), I get a GPU Out-Of-Memory error. I am using tensorflow 2.2. According to its manual, model.fit_generator has been deprecated and model.fit is preferred.</p>
  <p>Can someone outline the steps for training large datasets with tensorflow v2.2?</p>