Deep Learning in Clojure with Cortex

Deep Learning in Clojure With Cortex

  • The training data consists of 25,000 images of cats and dogs.
  • It reads in the external nippy file that contains the trained network description, takes a random image from the testing directory, and classifies it.
  • We want all the dog images to be under a “dog” directory and the cat images under the “cat” directory so that the all the indexed images under them have the correct “label”.
  • How many times it thought a cat was really a cat and how many times it got it wrong.
  • We need all the images to be the same size as well as in a directory structure that is split up into the training and test images.

There is an awesome new Clojure-first machine learning library called Cortex that was open sourced recently. I’ve been exploring it lately and …
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Google AI’s photo recognition achieves 94 percent accuracy

#google AI’s photo recognition achieves 94 percent accuracy

  • Google AI’s photo recognition achieves 94 percent accuracy
  • If you’re fascinated by the technical aspects of photo recognition, you can read the paper Google recently released about it .
  • Google has labeled my son as a dog in several photos
  • Opera for Android gets a major redesign
  • 13 tips for creating more immersive VR content on Android

Google has released their latest TensorFlow model, and through its Inception V3 image modeling system, it can describe images with astounding accuracy.
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