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# System prepended metadata

title: <center><i class="fa fa-edit"></i> Keras Installation </center>
tags: [Internship]

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# <center><i class="fa fa-edit"></i> Keras Installation </center>
###### tags: `Internship`
:::info
**Goal:**
- [x] Anaconda
- [x] Run Prompt
- [x] Check Installation

**Resources:**

- [Python TensorFlow Tutorial](https://adventuresinmachinelearning.com/python-tensorflow-tutorial/)
- [LSTM Implementation in Python/Numpy](https://gist.github.com/tmatha/f1c7082acdc9af21aade33b98687f2c6)
- [LSTM Implementation in TensorFlow eager execution](https://gist.github.com/tmatha/905ae0c0d304119851d7432e5b359330)

:::
## Installation Guide
### Step for installation
#### Anaconda
1. [Download Anaconda](https://www.anaconda.com/products/individual#windows)
2. Run the installation 
3. [Follow this installation guide](https://docs.anaconda.com/anaconda/install/windows/)
4. Run anaconda prompt
![](https://i.imgur.com/NDuEJkf.png)
5. Run this command ```conda update --all``` to update and install all possible package on anaconda
6. Run this command ```conda install -c conda-forge keras``` to install Keras
![](https://i.imgur.com/9Ef9Kci.png)
7. Type 'y' and enter
8. Your anaconda should include jupyter notebook, you can open it by running this command ```jupyter notebook```
9. To check your keras installation successful or not, you can try to import keras.
![](https://i.imgur.com/1M2MdB1.png)
As you can see Keras used tensorflow for its **backend**

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