My first AI doesent work.

[tauking]

[19:26]

I am trying to create an AI with tensorflow.

[19:26]

import tensorflow as tf from tensorflow import keras model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])]) model.compile(optimizer='sgd', loss='mean_square_error') xs=[1, 2, 3] ys=[2, 4, 6] model.fit(xs, ys, epochs=1000) print(model.predict([7]))

[19:26]

But I get this error!

Please help me.

Epoch 1/1000 --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-2-8309fc54a25a> in <module>() 8 ys=[2, 4, 6] 9 ---> 10 model.fit(xs, ys, epochs=1000) 11 12 print(model.predict([7])) 10 frames /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs) 966 except Exception as e: # pylint:disable=broad-except 967 if hasattr(e, "ag_error_metadata"): --> 968 raise e.ag_error_metadata.to_exception(e) 969 else: 970 raise ValueError: in user code: /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:571 train_function * outputs = self.distribute_strategy.run( /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:951 run ** return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2290 call_for_each_replica return self._call_for_each_replica(fn, args, kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2649 _call_for_each_replica return fn(*args, **kwargs) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:533 train_step ** y, y_pred, sample_weight, regularization_losses=self.losses) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:187 __call__ self._build(y_pred) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:140 _build self._losses = nest.map_structure(self._get_loss_object, self._losses) /usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:617 map_structure structure[0], [func(*x) for x in entries], /usr/local/lib/python3.6/dist-packages/tensorflow/python/util/nest.py:617 <listcomp> structure[0], [func(*x) for x in entries], /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:264 _get_loss_object loss = losses_mod.get(loss) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:1857 get return deserialize(identifier) /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:1835 deserialize printable_module_name='loss function') /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/generic_utils.py:392 deserialize_keras_object raise ValueError('Unknown ' + printable_module_name + ':' + object_name) ValueError: Unknown loss function:mean_square_error

[Sambit Mahapatra]

https://www.tensorflow.org/api_docs/python/tf/keras/losses/MeanSquaredError

tf.keras.losses.MeanSquaredError(reduction=losses_utils.ReductionV2.AUTO, name='mean_squared_error')

So, you can either use 'mean_squared_error' or tf.keras.losses.MeanSquaredError() in loss function at model.compile()

[Daniel Roy]

first email I ever received from the list and that sounds like a joke

--
You received this message because you are subscribed to the Google Groups "TensorFlow Hub" group.
To unsubscribe from this group and stop receiving emails from it, send an email to hub+uns...@tensorflow.org.
To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/hub/e32b585b-fb9f-4413-9602-909de6e5133ao%40tensorflow.org.

[Sambit Mahapatra]

you didn't like the answer :)

[Daniel Roy]

your answer is actually excellent!