import tensorflow as tf
 net = layers.Dense(10)
 net.build((4, 10))
 net.kernel

NameError: name ‘layers’ is not defined

Error reason: TensorFlow does not load layers
Solution:

import tensorflow as tf
from tensorflow.keras import datasets, layers,optimizers
net = layers.Dense(10)
net.build((4, 10))
net.kernel

Operation results:

<tf.Variable 'kernel:0' shape=(10, 10) dtype=float32, numpy=
array([[ 0.22973484,  0.00857711, -0.21515384, -0.5346802 , -0.2584985 ,
         0.03767496,  0.22262502,  0.10832614,  0.12043941,  0.3197981 ],
       [ 0.12034583,  0.01719284, -0.37415868,  0.22801459,  0.49012756,
        -0.01656079, -0.02581853,  0.22888458, -0.3193212 , -0.23586014],
       [-0.50331104, -0.18943703,  0.47028244, -0.33412236,  0.04251152,
        -0.54133296,  0.23136115,  0.02571291, -0.36819634,  0.5134926 ],
       [-0.06907243,  0.33713734,  0.34277046,  0.24761981,  0.50419617,
        -0.20183799, -0.27459818, -0.34057558, -0.23564544,  0.34107167],
       [-0.51874346,  0.30625004,  0.07017416,  0.4792788 , -0.08462432,
         0.1762883 ,  0.47576356, -0.08242992,  0.0560475 ,  0.5385151 ],
       [-0.02134383,  0.02438915, -0.11708987,  0.26330394, -0.4951692 ,
         0.19778156, -0.1931901 , -0.41975048,  0.0376184 ,  0.23603398],
       [-0.20051709, -0.46164495,  0.15974921, -0.05227134,  0.14756906,
         0.12185448, -0.5285519 , -0.5298273 ,  0.14063555,  0.02481627],
       [-0.35953748,  0.30639488, -0.02970898, -0.5232449 , -0.10309196,
        -0.3557127 , -0.19765031,  0.3171267 ,  0.34930962, -0.15071085],
       [ 0.20013565,  0.11569405, -0.46884173, -0.40876222,  0.36319625,
         0.33609563,  0.2721032 , -0.04006624,  0.09699225,  0.20260221],
       [-0.03152204, -0.48894358,  0.3079273 , -0.5283493 , -0.44822672,
        -0.34838638,  0.41896552, -0.34962398, -0.24334553,  0.38500214]],
      dtype=float32)>

Problem solved.