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[Solved] (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Error Occurs?

Today I get the following error (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) in Python.

How To Solve (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Error ?

  1. How To Solve (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Error ?

    To Solve (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Error Could also happen due to a difference in versions (I had to move back from tensorflow 2.1.0 to 2.0.0.beta1 in order to solve this issue).

  2. (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)

    To Solve (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Error Could also happen due to a difference in versions (I had to move back from tensorflow 2.1.0 to 2.0.0.beta1 in order to solve this issue).

Solution 1

After trying everything above with no success, I found that my problem was that one of the columns from my data had boolean values. Converting everything into np.float32 solved the issue!

import numpy as np

X = np.asarray(X).astype(np.float32)

Solution 2

Could also happen due to a difference in versions (I had to move back from tensorflow 2.1.0 to 2.0.0.beta1 in order to solve this issue).

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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