November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Classification
Classification is one of the classical problems in machine learning. Data under consideration could belong to one class or another, for example, if the images provided are data, they could be pictures of cats or dogs. Thus, the classes, in this case, are cats and dogs. Classification means identifying the label or class of the objects under consideration. Classification falls under the umbrella of supervised machine learning. In classification problems, a training dataset is provided that has features or inputs and their corresponding outputs or labels. Using this training dataset, a model is trained; in other words, the parameters of the model are computed. The trained model is then used on new data to find its correct labels. ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.