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View Code? Open in Web Editor NEWipython notebooks for machine learning, code behind work at the blog
Home Page: https://medium.com/@satnalikamayank12
ipython notebooks for machine learning, code behind work at the blog
Home Page: https://medium.com/@satnalikamayank12
It seems to me that continuous variable normalization is missing for continuous variables.
Hello I am facing the issue in merging the models. in the new Keras, Merge is being removed and with concatenate I am getting the following error
ValueError: Layer concatenate_8 was called with an input that isn't a symbolic tensor. Received type: <class 'keras.engine.sequential.Sequential'>. Full input: [<keras.engine.sequential.Sequential object at 0x7f9f5465f550>, <keras.engine.sequential.Sequential object at 0x7f9f5437bad0>, <keras.engine.sequential.Sequential object at 0x7f9f549f5b10>, <keras.engine.sequential.Sequential object at 0x7f9f546bf310>, <keras.engine.sequential.Sequential object at 0x7f9f5463fe10>]. All inputs to the layer should be tensors.
Hello,
unfortunately merge is decaperated for keras 2. Could you please advise on how to run this tutorial by using Concatenate instead of Merge? When I try it it comes up with an AssertionError.
Thanks in advance
Daniel
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