# Am I reading my dataset right?

Since I'm new in deep learning I have some questions. I made some tests with keras and mnist dataset and everything was OK.

Then I decided to try with some of my datests. You could find the dataset here: dataset. I'm not sure if uploading dataset on such service is OK for the community. The model is simple classifier and the target property is at position 0 in the dataset.

The thing that worries me is that the model is build quite fast - about 1 second per epoch. I'm not sure if I read my data correctly and I need an advice for the model that I made.

So thanks in advance for the time you spare to help me.

Here is the code that I used:

from numpy import zeros as zero

from keras.models import Sequential
from keras.layers import Dense, Dropout

import tensorflow as tf

f_train = open("train.csv", "r")

train_data_x = zero((10764, 512))
train_data_y = zero((10764, 1))

n=0
line = line[:-1]
train_data_x[n]= line.split(",")[1:]
train_data_y[n] = line.split(",")[0]
n+=1

f_test = open("test.csv", "r")

test_data_x = zero((7177, 512))
test_data_y = zero((7177, 1))

n=0
line = line[:-1]
test_data_x[n]= line.split(",")[1:]
test_data_y[n] = line.split(",")[0]
n+=1

model = Sequential()