priyatham/compara-deep-learning
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@ -4,7 +4,7 @@ The aim of this project is to use **Deep Neural-Nets** to predict homology type
This file provides the instructions to replicate the results of this project from scratch.
## Requirements:
1. A machine with atleast **8GB of RAM** (although **16-32GB** is recommended. It depends on the no. of homology databases that you are willing to use in the preparation of the dataset), a graphic card for training the deep neural nets. A single GPU machine would suffice. The model can be trained on CPU as well but will be a lot faster if trained on a GPU.
1. A machine with atleast **8GB of RAM** (although **16-32GB** is recommended. It depends on the no. of homology databases that you are willing to use in the preparation of the dataset), a graphic card for training the deep neural nets. A single GPU machine would suffice. The model can be trained on CPU as well but the training process will be lot faster if trained on a GPU.
2. A stable Internet Connection.
3. A native/virtual python environment. Install the dependencies from `requirements.txt` using :
`pip install -r requirements.txt`