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The validation loss settles exactly at an error of one. Probably means there's something off with either the kind of data validation set has or with something in the training. An exact validation loss of one almost definitely means there's something off. I'd recommend before doing anything thoroughly go through your data or see if there's anything to debug ...


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Depends on what does 1 represent in your task. If you are trying to predict household prices and 1 represents \$1, I think the average validation loss is good. If 1 represents \$10000 in this case, probably something is not right. But remember that there are 2 parts contributing to the overall loss. The mse loss and the l2 penalty loss. (Also remember that ...


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The telltale signature of overfitting is when your validation loss starts increasing, while your training loss continues decreasing, i.e.: (Image adapted from Wikipedia entry on overfitting) It is clear that this does not happen in your diagram, hence your model does not overfit. A difference between a training and a validation score by itself does not ...


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There are two factors that will change the ability of a deep neural network to fit a given dataset: either you need more data, or a deeper and wider network. Since the pattern is only 2-d, it can likely be approximated by some sort of simple periodic function. A DNN can approximate periodic functions pretty well, so the issue is probably that you don't have ...


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Welcome to AI.SE @EdouardLopez! Because Boston Dynamics is a private, for profit, company, we cannot know for sure how they achieve their results. However, we can examine the available public information and make educated guesses. In the information posted with the video, Boston Dynamics tells us that they use ... an optimization algorithm transforms ...


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You are basically describing the way Google Translate works. There has been a lot of research in text alignment in the area of multi-lingual corpus linguistics. An early paper (with sourcode) is Gale and Church's A Program for Aligning Sentences in Bilingual Corpora (PDF). In linguistics these are called parallel texts. On the wikipedia page you will find ...


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Artificiality Artificial means designed by humans. It is easy to explain why. Some would propose that artificial means not man made. However, that definition has shortcomings. It brings up the question of whether always defaulting word gender to one of two genders perpetuates gender imbalance. The verb to make is not what we mean when we use the word ...


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Comparing Unlike Objects The comparison between a person and an artificial network cannot be made on an equal basis. The former is a composition of many things that the later is not. Unlike an artificial network sitting in computer memory on a laptop or server, a human being is an organism, from head to toe, living in the biosphere and interacting with ...


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One approach for this is collaborative filtering. see also link This does however need you to have data about some user preferences on some products. Given that you have stated you are willing to mine user preferences this approach may be feasible. The idea is that with this data you can train a model to predict how a user might rate a product. This is ...


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