TensorFlow - Tutorialspoint
Identifies relevant data sets and prepares them for analysis. Chooses the type of algorithm to use. Builds an analytical model based on the algorithm used. Trains the model on test data sets, revising it as needed. Runs the model to generate test scores. Difference between Machine Learning and Deep learning
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