How can i track weights when i use tf.train.adamoptimizer - tensorflow

Question

I am using tf.train.AdamOptimizer to train my neural network, I know I can train easily by this, but how can I track the weight changes, or is there any method and function for this job?
Thank you very much.
optimizer = tf.train.AdamOptimizer(learning_rate=decoder.learning_rate).minimize(loss,global_step=global_step)

Answer 1

Below is an example to print the weights of a layer of the model.
import tensorflow as tf
from tensorflow.keras.applications import MobileNetV2
print("Tensorflow Version:",tf.__version__)
model = MobileNetV2(input_shape=[128, 128, 3], include_top=False) #or whatever model
print("Layer of the model:",model.layers[2])
print("Weights of the Layer",model.layers[2].get_weights())
Output:
I have cut short the putput as the weights was lengthy.
Tensorflow Version: 1.15.0
Layer of the model: <tensorflow.python.keras.layers.convolutional.Conv2D object at 0x7fe9123d2ac8>
Weights of the Layer [array([[[[ 1.60920480e-03, -1.45352582e-22, 1.54917374e-01,
2.29649822e-06, 1.49279218e-02, -5.39761280e-21,
7.01060288e-21, 1.54408276e-21, -1.12762444e-01,
-2.37320393e-01, 2.77190953e-01, 5.03320247e-02,
-4.21045721e-01, 1.73461720e-01, -5.35633206e-01,
-5.95900055e-04, 5.34933396e-02, 2.24988922e-01,
-1.49572559e-22, 2.20291526e-03, -5.38195252e-01,
-2.21309029e-02, -4.88732375e-22, -3.89234926e-21,
2.84152419e-22, -1.23437764e-02, -1.14439223e-02,
1.46071922e-22, -4.24997229e-03, -2.48236431e-09,
-4.64977883e-02, -3.43741417e-01],
[ 1.25032081e-03, -2.00014382e-22, 2.32940048e-01,
2.78269158e-06, 1.99653972e-02, 7.11864268e-20,
6.08769832e-21, 2.95990709e-22, -2.76436746e-01,
-5.15990913e-01, 6.78669810e-01, 3.02553400e-02,
-7.55709827e-01, 3.29371482e-01, -9.70950842e-01,
-3.02999169e-02, 7.99737051e-02, -4.45111930e-01,
-2.01127320e-22, 1.61909293e-02, 2.13520035e-01,
4.36614119e-02, -2.21765310e-22, 4.13772868e-21,
2.79922130e-22, 4.81817983e-02, -2.71119680e-02,
4.72275196e-22, 1.12856282e-02, 3.38369194e-10,
-1.29655674e-01, -3.85710597e-01],