import tensorflow as tf
키 = 170
신발 = 260
a = tf.Variable(0.1)
b = tf.Variable(0.2)
def lossFunc():
return tf.square(260 - 키*a+b)
opt = tf.keras.optimizers.Adam(learning_rate = 0.1)
opt.minimize(lossFunc, var_list = [a,b])
에러
PS C:\Users\USER\Desktop\폴더> python tensor.py
2024-03-05 19:32:22.271715: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-03-05 19:32:23.536344: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-03-05 19:32:26.012849: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "C:\Users\USER\Desktop\폴더\tensor.py", line 13, in <module>
opt.minimize(lossFunc, var_list = [a,b])
^^^^^^^^^^^^
AttributeError: 'Adam' object has no attribute 'minimize'
어떻게 고치나요?
