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. 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: 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