Feeding large dataset to neural network using tf
You can use generator to read the data if your model uses "Mini-Batch SGD"-like optimization method which just uses a small batch of samples each step. For example, 

df_iterator = pandas.read_csv(your_data,chunksize=batch_size,iterator=True)
for small_batch in df_iterator:
#feed it to your model's input