TensorFlow 1.x Deep Learning Cookbook

How to do it…

We proceed with the recipe as follows:

1. Import the modules required and declare global variables:

import tensorflow as tf# Global parametersDATA_FILE = 'boston_housing.csv'BATCH_SIZE = 10NUM_FEATURES = 14

2. Next, we define a function that will take as argument the filename and return tensors in batches of size equal to BATCH_SIZE:

def data_generator(filename):    """    Generates Tensors in batches of size Batch_SIZE.    Args: String Tensor    Filename from which data is to be read    Returns: Tensors    feature_batch and label_batch    """

3. Define the filename that is f_queue and reader:

f_queue = tf.train.string_input_producer(filename)reader = tf.TextLineReader(skip_header_lines=1) # Skips the first line _, value = reader.read(f_queue)