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ValueError: Could not interpret optimizer identifier: <keras.optimizers.optimizer_v2.adam.Adam object at 0x7fbb7d2db9a0>

Muhammad Sohail answered on December 24, 2022 Popularity 8/10 Helpfulness 3/10

answer ValueError: Could not interpret optimizer identifier: <keras.optimizers.optimizer_v2.adam.Adam object at 0x7fbb7d2db9a0>

ValueError: Could not interpret optimizer identifier: <keras.optimizers.optimizer_v2.adam.Adam object at 0x7fbb7d2db9a0>

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from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense, Flatten, GlobalAveragePooling2D, Activation
import keras
from keras.optimizers import SGD

model = Sequential()
model.add(Dense(64, kernel_initializer='uniform', input_shape=(10,)))
model.add(Activation('softmax'))
model.compile(loss='mean_squared_error', optimizer=SGD(lr=0.01), metrics= ['accuracy'])*

Popularity 8/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: object python

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