Realization of Intellectual Potential: from Shatr to Alphazero Interactive Deep Neural Networks
نویسندگان
چکیده
One of the priorities system ethno-cultural training is development inclinations and abilities, realization intellectual potential individ-ual. The game chess a resource for mental person. In article, author offers brief overview history Kalmyk chess, as well shows effectiveness modern players, an analy-sis logical thinking, speed accuracy opera-tions, from origin to use artificial intelligence. work also touched up-on various ways playing in their results context this study. materials methods are theoretical method (analysis generalization scientific methodological literature on research topic). study discussion: tournaments were analyzed work, within framework which participants was conducted. experiment presented. On basis study, it can be concluded that used develop such human qualities ingenuity discipline, number other important qualities.
منابع مشابه
Construction of neural networks for realization of localized deep learning
The subject of deep learning has recently attracted users of machine learning from various disciplines, including: medical diagnosis and bioinformatics, financial market analysis and online advertisement, speech and handwriting recognition, computer vision and natural language processing, time series forecasting, and search engines. However, theoretical development of deep learning is still at ...
متن کاملInteractive Content-Based Image Retrieval with Deep Neural Networks
Recent advances in deep neural networks have given rise to new approaches to content-based image retrieval (CBIR). Their ability to learn universal visual features for any target query makes them a good choice for systems dealing with large and diverse image datasets. However, employing deep neural networks in interactive CBIR systems still poses challenges: either the search target has to be p...
متن کاملCystoscopy Image Classication Using Deep Convolutional Neural Networks
In the past three decades, the use of smart methods in medical diagnostic systems has attractedthe attention of many researchers. However, no smart activity has been provided in the eld ofmedical image processing for diagnosis of bladder cancer through cystoscopy images despite the highprevalence in the world. In this paper, two well-known convolutional neural networks (CNNs) ...
متن کاملLearning from LDA Using Deep Neural Networks
Latent Dirichlet Allocation (LDA) is a three-level hierarchical Bayesian model for topic inference. In spite of its great success, inferring the latent topic distribution with LDA is time-consuming. Motivated by the transfer learning approach proposed by Hinton et al. (2015), we present a novel method that uses LDA to supervise the training of a deep neural network (DNN), so that the DNN can ap...
متن کاملDo Deep Neural Networks Suffer from Crowding?
Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed close to it. In this work, we study the effect of crowding in artificial Deep Neural Networks for object recognition. We analyze both standard deep convolutional neural networks (DCNNs) as well as a new version of DCNN...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ???????? ???????????
سال: 2022
ISSN: ['2603-381X', '2535-101X']
DOI: https://doi.org/10.31483/r-103560