I\'m relatively new to the world of TensorFlow, and pretty perplexed by how you\'d actually read CSV data into a usable example/label tensors in Te
You can use latest tf.data API :
dataset = tf.contrib.data.make_csv_dataset(filepath) iterator = dataset.make_initializable_iterator() columns = iterator.get_next() with tf.Session() as sess: sess.run([iteator.initializer])