# Tensorflow/Keras installation conflict

**URL:** <https://forum.knime.com/t/tensorflow-keras-installation-conflict/48670>\
**Category:** KNIME Analytics Platform\
**Created:** [November 5, 2022, 10:18pm UTC](https://forum.knime.com/t/tensorflow-keras-installation-conflict/48670 "2022-11-05T22:18:45Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [December 5, 2022, 2:47pm UTC](https://forum.knime.com/t/tensorflow-keras-installation-conflict/48670/5 "2022-12-05T14:47:21Z")

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> [@mlauber71](#):
>
> I plan on writing some more about this with examples and screenshots.

The article is now online:

> **[KNIME and Python — Setting up Deep Learning Environments for Keras and...](https://medium.com/low-code-for-advanced-data-science/knime-and-python-setting-up-deep-learning-environments-for-keras-and-tensorflow-4b66003858f4)**
>
> TL;DR: Just install Python/Conda through Miniforge and use the embedded Environment Propagation nodes from the deep learning examples. Or…

> [@KNIME and Python — Setting up Deep Learning Environments for Keras and TensorFlow](https://forum.knime.com/t/knime-and-python-setting-up-deep-learning-environments-for-keras-and-tensorflow/50445):
>
> The follow-up to my article about [KNIME, Python and Conda](https://forum.knime.com/t/knime-and-python-setting-up-and-managing-conda-environments/49405) is now online dealing with the question of: KNIME and Python — Setting up Deep Learning Environments for Keras and TensorFlow

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