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jevonchy / machine-translation

Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.

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deep-neural-networksmachine-translationnatural-language-processingword-embeddingsdeep-learning-attention

Machine Translation

Introduction

Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.

Setup

This project requires GPU acceleration to run efficiently. Support is available to use either of the following two methods for accessing GPU-enabled cloud computing resources.

Amazon Web Services (Optional), Google Cloud Platform (Optional) or Microsoft Azure (Preferred)

You have to setup a GPU instance for this project, use either AWS, GCP or MS Azure. The recommended AMI should include compatible versions of all required software and libraries to complete the project.

Install

  • Python 3
  • NumPy
  • TensorFlow 1.x
  • Keras 2.x

About

Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.

deep-neural-networksmachine-translationnatural-language-processingword-embeddingsdeep-learning-attention

Languages

Language:Jupyter Notebook 95.2%Language:Python 4.8%