Keras - Python Deep Learning Neural Network API

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Deploy Keras neural network to Flask web service | Part 5 - Host VGG16 model with Flask

May 19, 2018 by


Here, we’ll be building the backend of our Flask application that hosts a fine-tuned VGG16 Keras model to predict on images of dogs and cats. In general, you should be able to take our approach here and apply it to any model you’d like. So let’s to it. At this point, we should be generally comfortable with Flask given our two simple applications we’ve built so far. Remember from the first video in this series, I showed you a sneak peak of what our application would look like that uses a Keras model to predict on cat and dog images. We select an image of a cat or dog, press predict, and get predictions from our model. We’ll be developing the backend of this application using Flask in this video. Code: Code files are available as a perk for the deeplizard hivemind. Check out the details regarding deeplizard perks and rewards at: Download the h5 file (too large to upload to Github): 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: Laser Groove by Kevin MacLeod Chillin Hard by Kevin MacLeod Thinking Music by Kevin MacLeod YouTube: Website: Licensed under Creative Commons: By Attribution 3.0 License