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Deep Learning Notebook AMI

This Amazon Machine Image (click here to find out more about AMIs) allows you to host your own Deep Learning notebooks in minutes.

This AMI features:

  • Your own Jupyter notebook server instance
  • Automatic GPU detection (if supported). GPUs enable you to train a neural network faster.
  • Latest versions of Pytorch, Tensorflow and Keras (Deep Learning libraries)
  • Python 3.6
  • Latest Scikit Learn, Matplotlib, Numpy python libraries
  • Nvidia CUDA version 9.2 + CUDNN version 7.2 (only if running on GPU instance)

Click here to access the setup instructions

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Sentiment Analysis SageMaker model

This SageMaker model is powered by Deep Learning technology running on Tensorflow, and provides an api to analyze the sentiment of a text input

Click here for more information

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Named Entity Recognizer Sagemaker model

This SageMaker model uses SpaCy to detect named entities in text paragraphs. It can recognize people names, places, time, money, etc...

Click here for more information

 

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