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https://github.com/hanzopgp/tensorflowtest

Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
https://github.com/hanzopgp/tensorflowtest

artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow

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Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.

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# TensorFlowTest

## Presentation

>Learning about tensorflow, jupyter notebook, numpy, matplotlib, sklearn and other libraries to quickly build and test neural networks. Following Thibaut Neveu's tutorial.

## Dependencies

- Python
- Anaconda
- Jupyter notebook
- TensorFlow
- Numpy
- Matplotlib
- Pandas
- Sklearn
- Unidecode

## Jupyterlab setup

- Install Anaconda
- Create new environnment
- Open environment terminal
- \>pip install tensorflow
- \>pip install pandas
- \>pip install sklearn
- \>pip install jupyter notebook
- ...
- Open jupyter notebook in that environment

## Datasets

- Datasets are not in the github repository, you need to download it (Links in notebooks).

## Links

- https://www.tensorflow.org/?hl=fr
- https://www.youtube.com/watch?v=hP7Ac8S9Tgs&list=PLpEPgC7cUJ4byTM5kGA0Te1jUeNwbSgfd&ab_channel=ThibaultNeveu
- https://en.wikipedia.org/wiki/Long_short-term_memory
- https://en.wikipedia.org/wiki/Recurrent_neural_network