The goal here is to progressively train deeper and more accurate models using TensorFlow. We will first load the notMNIST dataset which we have done data cleaning. For the classification problem, we will first train two logistic regression models use simple gradient descent, stochastic gradient descent (SGD) respectively for optimization to see the difference between these optimizers.
Today we're going to do some simple image recogintion using NotMNIST dataset. But before creating model for prediction, it's more important to explore, clean and normalize our dataset in order to make the learning go smoother when we actually build predictive models.