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Among the different neural network types, which one is the best for image processing?
Author: MartinStatus: PublishedQuestion passed 666 times
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In deep learning, the validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.1
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
In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action **CAN** be done during this preparation?1
Which of the following processes are machine learning ones but not particularly related to deep learning?9
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.12
What is the relation between Artificial intelligence (AI), machine learning and deep learning?6
Given a neural network with 4 inputs, how many connections could exist between the input layer and the first hidden layer?