Tensorflow._api.v2.train has no attribute 'AdamOptimizer'
Question:
When using
model.compile(optimizer = tf.train.AdamOptimizer(),
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
in my Jupyter Notebook the following Error pops up:
module ‘tensorflow._api.v2.train’ has no attribute ‘AdamOptimizer’
Tensorflow Version: 2.0.0-alpha0
Do you think the only possibility is to downgrade the TF version?
Answers:
I haven’t tried 2.0 yet, but from what I’ve seen on the dev submit videos, you can use
model.compile(optimizer = 'adam',
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
tf.train.AdamOptimizer() => tf.optimizers.Adam()
From https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/optimizers
tf.optimizers.Adam()
Is the way to go. No reason to downgrade.
There are lots of changes in tf 2.0 compared to 1.14.
Note that the parameter-names of Adam have changed, too. e.g. beta1 is now beta_1, check the documentation in Meixu Songs link.
model.compile(optimizer = tf.keras.optimizers.Adam(),
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
I had the same error. I removed
tf.train.AdamOptimizer()
And I wrote
tf.optimizers.Adam()
Instead.
It’s a minor change in upgraded version.
Please use:
model.compile(optimizer=tf.optimizers.Adam(), loss="sparse_categorical_crossentropy")
Thanks!
It should be:
tf.compat.v1.train.AdamOptimizer()
model.compile(optimizer = tf.keras.optimizers.Adam(), loss = 'sparse_categorical_crossentropy', metrics=['accuracy'])
When using
model.compile(optimizer = tf.train.AdamOptimizer(),
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
in my Jupyter Notebook the following Error pops up:
module ‘tensorflow._api.v2.train’ has no attribute ‘AdamOptimizer’
Tensorflow Version: 2.0.0-alpha0
Do you think the only possibility is to downgrade the TF version?
I haven’t tried 2.0 yet, but from what I’ve seen on the dev submit videos, you can use
model.compile(optimizer = 'adam',
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
tf.train.AdamOptimizer() => tf.optimizers.Adam()
From https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/optimizers
tf.optimizers.Adam()
Is the way to go. No reason to downgrade.
There are lots of changes in tf 2.0 compared to 1.14.
Note that the parameter-names of Adam have changed, too. e.g. beta1 is now beta_1, check the documentation in Meixu Songs link.
model.compile(optimizer = tf.keras.optimizers.Adam(),
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
I had the same error. I removed
tf.train.AdamOptimizer()
And I wrote
tf.optimizers.Adam()
Instead.
It’s a minor change in upgraded version.
Please use:
model.compile(optimizer=tf.optimizers.Adam(), loss="sparse_categorical_crossentropy")
Thanks!
It should be:
tf.compat.v1.train.AdamOptimizer()
model.compile(optimizer = tf.keras.optimizers.Adam(), loss = 'sparse_categorical_crossentropy', metrics=['accuracy'])