We just add evaluation of the training steps, note use of session.run to evaluate softmax of logits
code:
Notes:
Model does not seem to train well. Issues without batch normalization:
- learning rate
- parameter initialization
- 'swings', all samples classified as A or B
- How much data are we training on?