Keras - Python Deep Learning Neural Network API

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Deploy Keras neural network to Flask web service | Part 7 - Visualizations with D3, DC, Crossfilter

May 22, 2018 by


Let's see how we can visualize the prediction results from our neural network with charts in our front end web application using the D3, DC, and Crossfilter Javascript APIs. In the last couple of videos, we completed the development of the back end Flask web service to host our Keras model, as well as the front end web application to interact with our model and request predictions on images of cats and dogs. Previously, we saw that our model would return predictions to us, and we would then display the values of the predictions on the page. In this video, rather than just displaying those raw values, we’re going to see how we can visualize those predictions using charts. Data visualization is a big deal in general, so quickly getting an idea for how this might be done in this application can help you kick start the process of thinking about how you may want to visualize your data across other apps going forward. Let me know if you’re interested in learning more about data visualization in the comments. 💥🦎 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.