CODEWITHSUNDEEP
pythonnumpytensorflowlstmrecurrent-neural-network
NoobC0der
NoobC0der

Reputation: 85

Cannot convert a symbolic Tensor (lstm_15/strided_slice:0) to a numpy array

I am unable to build an LSTM network because everytime I try to create it using the code below I get the following error: NotImplementedError: Cannot convert a symbolic Tensor (lstm_15/strided_slice:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported

My code is as follows:

rnn_model = Sequential()
rnn_model.add(LSTM(16,input_shape=(20,1)))
rnn_model.add(Dense(10))
rnn_model.add(Dense(1))

What is going wrong exactly?

Upvotes: 1

Views: 6585

Answers (1)

Alex
Alex

Reputation: 19

It's because you are using a non-compatible version of NumPy. If you are using TensorFlow 2.4.1 you need to use the following version of Numpy:

pip install -U numpy==1.19.2

Upvotes: 1

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