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
2.0 Compatible Solution: This Answer might be provided by others in the above thread but I will provide additional links which will help the community.
dataset = tf.data.experimental.make_csv_dataset(
file_path,
batch_size=5, # Artificially small to make examples easier to show.
label_name=LABEL_COLUMN,
na_value="?",
num_epochs=1,
ignore_errors=True,
**kwargs)
For more information, please refer this Tensorflow Tutorial.