In this notebook, we will build a deep neural network that functions as part of an end-to-end machine translation pipeline. Our completed pipeline will accept English text as input and return the French translation.
This project requires GPU acceleration to run efficiently. Support is available to use AWS for accessing GPU-enabled cloud computing resources.
Please refer to the instructions for setting up a GPU instance for this project, and refer to the project instructions I will post later for setup. The recommended AMI should include compatible versions of all required software and libraries to complete the project.
- Python 3
- NumPy
- TensorFlow 1.x
- Keras 2.x
There are several ways to generate an HTML copy of the notebook:
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Running the last cell of the notebook will export an HTML copy
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Navigating to File -> Download as -> HTML (.html) within the notebook
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Using
nbconvertfrom the command line$ pip install nbconvert $ nbconvert machine_translation.ipynb