---+-----+-----
 1 | {1} |{56}
---+-----+-----
 2 | 57  |{71}
---+-----+-----
 3 | 72  | 85
---+-----+-----
 4 |{86} |{89}
---+-----+-----
 5 | 90  | 94
---+-----+-----
 6 | 95  | 102
---+-----+-----
 7 | 103 |{171}
---+-----+-----
 8 | 172 | 206
---+-----+-----

import pandas as pd
import numpy as np

# Make numpy values easier to read.
np.set_printoptions(precision=3, suppress=True)

import tensorflow as tf
from tensorflow.keras import layers

abalone_train = pd.read_csv(
    "https://storage.googleapis.com/download.tensorflow.org/data/abalone_train.csv",
    names=["Length", "Diameter", "Height", "Whole weight", "Shucked weight",
           "Viscera weight", "Shell weight", "Age"])

abalone_train.head()
abalone_features = abalone_train.copy()
abalone_labels = abalone_features.pop('Age')
abalone_features = np.array(abalone_features)
abalone_features

abalone_model = tf.keras.Sequential([
  layers.Dense(64),
  layers.Dense(1)
])

abalone_model.compile(loss = tf.keras.losses.MeanSquaredError(),
                      optimizer = tf.keras.optimizers.Adam())
abalone_model.fit(abalone_features, abalone_labels, epochs=10)