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"Supervised" Machine Deep Learning: Cat vs. Dog Recognition
Use artificial intelligence to identify an image of a dog or cat.
Supervised learning is a machine learning paradigm for problems where the available data consists of labeled examples, meaning that each data point contains features (covariates) and an associated label. The goal of supervised learning algorithms is learning a function that maps feature vectors (inputs) to labels (output), based on example input-output pairs.
See the code behind this. Also, see handwritten number recognition and unsupervised learning example.
Upload an image of a dog or cat and see if the computer can recognize it.
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