matt4077on Hacker News • Recommends
On “Feature Visualization: How neural nets build up their understanding of images”
#deepdream#neuralnetworks#generativeart
767 subscribers • 1 video on Hallway
Beginner. No background in the topic needed.
597K views11 years ago1 recommendation
AI and machine learningGraphics and audioNeural networks and deep learningCreative coding
How Google's Deep Dream visualization technique recursively processes random noise to reveal the features learned by different neural network layers.
" A journey through all the layers of an artificial neural network. This video is made using a visualization technique applied to a neural network trained to recognize a broad range of images. Each frame is recursively fed back to the network starting with a frame of random noise. Every 100 frames (4 seconds) the next layer is targeted until the lowest layer is reached. Based on the work by Google researchers Alexander Mordvintsev, Christopher Olah and Mike Tyka. See googleresearch.blogspot.it/2015/07/deepdream-code-example-for-visualizing.html for more information." ~Johan Nordberg, original video creator. Original video by Johan Nordberg here. vimeo.com/132700334 special thanks to Ektoplazm for inspiration Music: Journey on the Sunset by Sam'adhi on the Low Tide VA ektoplazm.com/free-music/low-tideWhat people say. Recommended as an excellent visual example of Google's Deep Dream neural network visualization.
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