TensorFlow in 1 Day: Make your own Neural Network by Rungta Krishna

Author:Rungta, Krishna [Rungta, Krishna]
Language: eng
Format: azw3
Published: 2018-09-03T16:00:00+00:00

This function parses the csv file with the method tf.decode_csv and declares the features and the label. The features can be declared as a dictionary or a tuple. You use the dictionary method because it is more convenient.Code explanation

tf.decode_csv(value, record_defaults= RECORDS_ALL): the method decode_csv uses the output of the TextLineDataset to read the csv file. record_defaults instructs TensorFlow about the columns type.

dict(zip(_CSV_COLUMNS, columns)): Populate the dictionary with all the columns extracted during this data processing

features.pop('median_house_value'): Exclude the target variable from the feature variable and create a label variable

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