![Cat S60 Image Processing Cat S60 Image Processing](http://images.techhive.com/images/article/2016/08/cat-s60-sim-and-microsd-card-door-100679879-orig.jpg)
Learn how Google developed the state-of-the-art image classificationmodel powering search in Google Photos. Get a crash course on convolutional neuralnetworks, and then build your own image classifier to distinguish cat photosfrom dog photos.
The Cat S60 represented a turning point for the Caterpillar brand's smartphone partnership with U.K.-based device maker Bullitt Group. After releasing a few variations on the same theme.
Estimated Completion Time: 90–120 minutes Prerequisites.or equivalent experience with ML fundamentals.Proficiency in programming basics, and some experience coding in PythonNote: The coding exercises in thispracticum use the API.Keras is a high-level deep-learning API for configuring neural networks. It isavailable both as a standalone library and as aPrior experience with Keras is not required for the Colab exercises, as codelistings are heavily commented and explained step by step. Comprehensive APIdocumentation is also available on the. IntroductionIn May 2013, Google,giving users the ability to retrieve photos in their libraries based on theobjects present in the images.Figure 1.