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What are the differences/similarities between a loss function, an error function, and a cost function?
Author: MartinStatus: PublishedQuestion passed 697 times
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What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.14
What is the relation between Artificial intelligence (AI), machine learning and deep learning?8
Given a neural network with 4 inputs, how many connections could exist between the input layer and the first hidden layer?2
Cross validation is a technique used for evaluating DL (deep learning) models (an ML models in general). The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.1
How to define unsupervised learning? In unsupervised learning ...1
Which neural network type is the best for image processing?4
Which of the following processes are machine learning ones but not particularly related to deep learning?