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• Serving a Keras Model with Flask

  by Cameron Bell   •   November 19, 2018
  architecture data pipeline Flask

        Though AWS Lambda was an elegant solution, it has strict constraints on the size of the code and memory used. Because the Keras and TensorFlow libraries require so much space on their own, there is not a lot of space left for a model. As we continued to train new and better models, they grew... Read More »

• Keras Model Deployment via AWS Lambda

  by Cameron Bell   •   November 14, 2018
  architecture data pipeline AWS Lambda

        AWS Lambda was a clear choice for our model delivery system, due to its serverless architecture and low cost. However, Lambda functions can only be 250 MB unzipped, which posed a problem to us. Parasite ID’s first classification algorithm was a neural network with almost 18 million parameters! It requires Keras (built on TensorFlow) to... Read More »