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Im Getting "nan" as loss value while training a LSTM. I need an expert in deep learning to solve this problem.

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I'm getting "nan" as loss value while training my LSTM model. Im have a dataset of 3648 rows. Number of LSTM layer : 4 Number of neurons in one LSTM : 50 Dropout : 0.2 Optimizer : Adam Loss : mean_squared_error Epochs : 100 batch size : 32. Please find attached the source code and the dataset.

Project ID: 18481687

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Hi plz see this [login to view URL] About me: I specialize in Python, ML & AI, application development, PHP, Django, JS and other technical skills which are useful in application development. Tools I know: python opencv keras tensorflow sklearn scipy matplotlib and other tools which are useful in data science. Please see my work on GitHub: [login to view URL]

$25 USD in 1 day

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hi there, I can do your project. I know Python well. I can code in Spyder and Jupyter. I have Python 3.

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hello my friend, Have you tried to replace nan numbers training_set = np.nan_to_num(training_set) best regards.

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Busan, Korea, Republic of

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