Keras - Python Deep Learning Neural Network API

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Deploy Keras Neural Network to Flask web service | Part 1 - Overview

May 10, 2018 by


Over the next several videos, we’ll be working to deploy a Keras model to a Flask web service. In this first video, we’re going to discuss what this means and why we’d want to do this. We’ll also get a glimpse of what the final product will look like. The model we’ll use is the fine-tuned VGG16 image classifier that we worked with earlier in this playlist to predict on images of cats and dogs, but the steps we go through together for this can be used for whatever model you choose to work with. Once we’ve deployed our Keras model to the web service, we’ll be able to access our model over HTTP from other apps, and we’ll even see how we can interact with our model from the browser. Our end goal will be to deploy the trained model to a Flask web service, and then from the browser, send an image of a cat or dog to the web service, and have it respond with the model’s predictions. Code: Code files are available as a perk for the deeplizard hivemind. Check out the details regarding deeplizard perks and rewards at: Follow deeplizard: YouTube: Twitter: Facebook: Steemit: Instagram: Pinterest: Support deeplizard on Patreon: Checkout products deeplizard suggests on Amazon: Support deeplizard by browsing with Brave: Support deeplizard with crypto: Bitcoin: 1AFgm3fLTiG5pNPgnfkKdsktgxLCMYpxCN Litecoin: LTZ2AUGpDmFm85y89PFFvVR5QmfX6Rfzg3 Ether: 0x9105cd0ecbc921ad19f6d5f9dd249735da8269ef Recommended books on AI: The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive: Life 3.0: Being Human in the Age of Artificial Intelligence Playlists: Data Science - Machine Learning - Keras - Music: Brittle Rille by Kevin MacLeod Thief in the Night by Kevin MacLeod YouTube: Website: Licensed under Creative Commons: By Attribution 3.0 License