Hello Guys, How are you all? Hope You all Are Fine. Today I am trying to facing numpy array error **NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array** **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 NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array Error Occurs ?

I am trying to facing numpy array error.

```
NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array.
```

## How To Solve NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array Error ?

**How To Solve NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array Error ?**To Solve NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array Error I just downgraded numpy to 1.19.5 and My error was solved. Just use this command to downgrade numpy version:

**pip install numpy==1.19.5**Second solution is Just try to reinstall tensorflow. Enter the below commands in the terminal of your current conda environment.**NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array**To Solve NotImplementedError: Cannot convert a symbolic Tensor (2nd_target:0) to a numpy array Error I just downgraded numpy to 1.19.5 and My error was solved. Just use this command to downgrade numpy version:

**pip install numpy==1.19.5**Second solution is Just try to reinstall tensorflow. Enter the below commands in the terminal of your current conda environment.

## Solution 1: downgrade numpy

I just downgraded numpy to 1.19.5 and My error was solved. Just use this command to downgrade numpy version.

`pip install numpy==1.19.5`

## Solution 2: reinstalling tensorflow

Just try to reinstall tensorflow. Enter the below commands in the terminal of your current conda environment.

```
pip uninstall tensorflow
pip install tensorflow
```

**Summary**

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?

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