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George Mihaila
2018-10-24 13:47:05 -05:00
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@@ -20,6 +20,7 @@ Main libraries used: **Tensorflow**, **Keras**, **CatBoost**,
* **[Cat Boost](https://github.com/gmihaila/deep_learning_toolbox/blob/master/cat_boost.ipynb)** implementation.
* **[Check GPU](https://github.com/gmihaila/machine_learning_toolbox/blob/master/check_gpu.ipynb)** in Tensorflow.
* **[Cuda Setup](https://github.com/gmihaila/machine_learning_toolbox/blob/master/cuda_setup.md)** guide.
* **[Data Label Encoding](https://github.com/gmihaila/machine_learning_toolbox/blob/master/label_encoding.ipynb)** for categorical data.
* **[Keras Checkpoints](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_checkpoins.ipynb)** to do callbacks when training large Deep Learning models.
* **[Keras embedding layer](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_embedding.ipynb)** How it works and how to add it to your Deep Learning Model.
* **[Keras Generator](https://github.com/gmihaila/machine_learning_toolbox/blob/master/keras_generator.ipynb)** use when dealing with Big Data. How to plug it to a Deep Learning model.