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Language Model GRU with Python and Theano
| Date | Stars |
|---|---|
| 2026-07-31 | 506 |
| 2026-08-06 | 506 |
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**This repositoriy belongs to [Part 4 of the WildML RNN Tutorial](http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/)**. The previous parts are here: - [Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/) - [Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/) - [Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients](http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/) ### Jupyter Notebook Setup System Requirements: - Python, pip - [virtualenv](https://virtualenv.pypa.io/en/latest/) (optional, but recommended) To start the [Jupyter Notebook](https://jupyter.org/index.html): ```bash # Clone the repo git clone https://github.com/dennybritz/rnn-tutorial-lstm cd rnn-tutorial-lstm # Create a new virtual environment (optional, but recommended) virtualenv venv source venv/bin/activate # Install requirements pip install -r requirements.txt # Start the notebook server jupyter notebook ``` ### Setting up a CUDA-enabled GPU instance on EC2: ```bash # Install build tools sudo apt-get update sudo apt-get install -y build-essential git python-pip libfreetype6-dev libxft-dev libncurses-dev libopenblas-dev gfortran python-matplotlib libblas-dev liblapack-dev libatlas-base-dev python-dev python-pydot linux-headers-generic linux-image-extra-virtual sudo pip install -U pip # Install CUDA 7 wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1410/x86_64/cuda-repo-ubuntu1410_7.0-28_amd64.deb sudo dpkg -i cuda-repo-ubuntu1410_7.0-28_amd64.deb sudo apt-get update sudo apt-get install -y cuda sudo reboot # Clone the repo and install requirements git clone [email protected]:dennybritz/nn-theano.git cd nn-theano sudo pip install -r requirements.txt # Set Environment variables export CUDA_ROOT=/usr/local/cuda-7.0 export PATH=$PATH:$CUDA_ROOT/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_ROOT/lib64 export THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 # For profiling only export CUDA_LAUNCH_BLOCKING=1 # Startup jupyter noteboook jupyter notebook ``` To start a public notebook server that is accessible over the network you can [follow the official instructions](http://jupyter-notebook.readthedocs.org/en/latest/public_server.html#notebook-public-server).
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Denny Britz · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5372f95cff54c632, name:tutorial