Keras - Python Deep Learning Neural Network API

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Deploy Keras neural network to Flask web service | Part 6 - Build web app to send images to VGG16

May 20, 2018 by


Here, we’ll be building the frontend web application to send images to our VGG16 Keras model being hosted by Flask. In the last video, we got our predict endpoint setup on the Flask side to receive images of cats and dogs and respond with predictions from our fine-tuned VGG16 model. In this video, we’ll be developing the frontend of our application that will allow users to browse to a web page, select an image, and have the predictions for that image from VGG16 displayed to them. 💥🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎💥 👉 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: Peder B. Helland 👀 Follow deeplizard: 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.