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Jan 06, 2021· Sapienza Università di Roma. . My main field of reasearch is Statistical Mechanics. In particular, I am interested in Neural networks, Machine Learning, Biological Cybernetics, and Mathematical Models and Methods for Complex Systems. ArXiv - Google Scholar - Research Gate. . Orcid ID: 0000-0002-5121-3511. My Extended CV.

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Aug 17, 2020· What are neural networks? Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

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Sep 14, 2020· What are recurrent neural networks? A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (nlp), speech recognition, and image captioning ...

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This particular network is classifying R-10 images into one of 10 classes and was trained with ConvNetJS. Its exact architecture is [conv-relu-conv-relu-pool]x3-fc-softmax, for a total of 17 layers and 7000 parameters. It uses 3x3 convolutions and 2x2 pooling regions. By the end of the class, you will know exactly what all these numbers mean.

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Sia il Machine Learning, sia il Deep Learning sono due sottocategorie dell'intelligenza artificiale.Entrambi gli approcci dimostrano che i computer sono in grado di prendere decisioni intelligenti. Il Deep Learning, tuttavia, è una sotto forma di Machine Learning, in quanto si basa sull'apprendimento non supervisionato.. In entrambi i casi, l'intelligenza è limitata ai singoli casi d ...

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Feb 20, 2018· Proviamo a smitizzare le reti neurali artificiali e a spiegare che spazio occupano nel più vasto ambito del machine learning. Oggi il machine learning è ovunque, ed è diventato il modo prevalente di declinare il concetto di intelligenza artificiale. Si tratta di uno dei campi col tasso di innovazione più alto in assoluto, contraddistinto da novità anche radicali che si susseguono senza sosta.

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