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. Download the h5 file (too large to upload to Github): 💥🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎💥 👀 OUR VLOG: 🔗 👉 Check out the blog post and other resources for this video: 🔗 💻 DOWNLOAD ACCESS TO CODE FILES 🤖 Available for members of the deeplizard hivemind: 🔗 🧠 Support collective intelligence, join the deeplizard hivemind: 🔗 🤜 Support collective intelligence, create a quiz question for this video: 🔗 🚀 Boost collective intelligence by sharing this video on social media! ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: yasser Prash 👀 Follow deeplizard: Our vlog: Twitter: Facebook: Patreon: YouTube: Instagram: 🎓 Other deeplizard courses: Reinforcement Learning - NN Programming - DL Fundamentals - Keras - TensorFlow.js - Data Science - Trading - 🛒 Check out products deeplizard recommends on Amazon: 🔗 📕 Get a FREE 30-day Audible trial and 2 FREE audio books using deeplizard’s link: 🔗 🎵 deeplizard uses music by Kevin MacLeod 🔗 🔗 ❤️ Please use the knowledge gained from deeplizard content for good, not evil.