Assessing hyper parameter optimization and speedup for convolutional neural networks

The increased processing power of graphical processing units (GPUs) and the availability of large image datasets has fostered a renewed interest in extracting semantic information from images. Promising results for complex image categorization problems have been achieved using deep learning, with neural networks comprised of many layers. Convolutional neural networks (CNN) are one such architecture which provides more opportunities for image classification. Advances in CNN enable the development of training models using large labelled image datasets, but the hyper parameters need to be specified, which is challenging and complex due to the large number of parameters. A substantial amount of computational power and processing time is required to determine the optimal hyper parameters to define a model yielding good results. This article provides a survey of the hyper parameter search and optimization methods for CNN architectures

Mathematics and the Internet: A Source of Enormous Confusion and Great Potential

Graph theory models the Internet mathematically, and a number of plausible mathematically intersecting network models for the Internet have been developed and studied. Simultaneously, Internet researchers have developed methodology to use real data to validate, or invalidate, proposed Internet models. The authors look at these parallel developments, particularly as they apply to scale-free network models of the preferential attachment type

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Networks have been shown to perform very well in session-based settings. While in many session-based recommendation domains user identifiers are hard to come by, there are also domains in which user profiles are readily available. We propose a seamless way to personalize RNN models with cross-session information transfer and devise a Hierarchical RNN model that relays end evolves latent hidden states of the RNNs across user sessions. Results on two industry datasets show large improvements over the session-only RNNs

The celebrity factory: new modes of fashion entrepreneurship

The aim of the paper is to analyze the contribution of celebrity culture to the re-shaping of the fashion industry, distancing from an oppositional view while embracing a systemic one, where celebrity is considered a fundamental engine of the contemporary cultural production of fashion and a global consumerist culture. The scope of our paper tries to overcome the endorsement point of view to address the relationship between celebrity and fashion as a two-way relationship which is re-wiring the fashion industry. The paper will explore the multiple manifestations of the so-called celebrity brand labels, from Kim Kardashian to Victoria Beckham

Sustain Arts/SE Michigan: A Portrait of the Cultural Ecosystem

This report discusses the potential use of data in arts organizations for strategic purposes. Data currently available on the cultural sector can lead to useful insights about the increasing proliferation of small arts organizations; the almost monolithic focus of private foundations on supporting a highly select group of large, well-established arts organizations; and the fact that established arts organizations are poorly positioned to satisfy emerging consumer preferences for cultural experiences. Such insights should provoke frank discussion and galvanize field leaders to advocate appropriate actions, both in response to existing disconnects and proactively, in anticipation of coming change. The data that are now available to the field are not perfect. In fact, that's part of the story that needs to be told about the cultural sector. Systematic data collection on artists, cultural organizations, and audiences receives only a token amount of government funding. Instead, it is left largely up to private organizations to document trends in both the nonprofit and for-profit cultural arenas. This leads to multiple non-overlapping data collection strategies, making it difficult to construct a coherent picture of the field. There are gaping holes in the puzzle, and the tales we tell with existing data must be told with caution

New culture-oriented economic development trajectories: the case study of four Dutch cities

Culture is a key ingredient of post-industrial, information-intensive economic activity. Culture-oriented economic development (COED) is emerging as a dominant paradigm, integrating the symbolic and creative elements into any aspect of the urban economy, pursuing distinction, innovativeness, and a higher level of interaction between localised individual and collective knowledge and globalising markets. This article presents a dynamic analysis of the effects of culture on the economic development trajectories of European cities. It may contribute to shed more light on the relevance of cultural industries for spatial development, addressing issues such as: cultural endowment, identity and urban competitiveness; dispersed vs. concentration; cultural participation and social inclusion. The analysis uses data collected within the ESPON project 1.3.3 and other information of qualitative and quantitative nature collected by EURICUR in occasion of a study of a sample of European cities . In this paper we present the investigation conducted in the three largest Dutch cities, Amsterdam, Rotterdam and the Hague, which are part of the city-region of the Randstand, and the fifth largest Dutch city, Eindhoven, one the most important economic and educational centres in the Netherlands.Cultural industry, urban economy, creativity, sustainable development, The Netherlands

Private philanthropy or policy transfer? The transnational norms of the Open Society Institute

The Open Society Institute (OSI) is a private operating and grant-making foundation that serves as the hub of the Soros Foundations Network, a group of autonomous national foundations around the world. OSI is a mechanism for the international diffusion of expertise and ‘best practices’ to post-communist countries and other democratising nations. Focusing on the ‘soft’ ideational and normative policy transfer, the article highlights the engagement in governance that comes with OSI transnational policy partnerships

Two Narratives of Platform Capitalism

Mainstream economists tend to pride themselves on the discipline\u27s resem­blance to science. But growing concerns about the reproducibility of economic research are undermining that source of legitimacy. These concerns have fueled renewed interest in another aspect of economic thought: its narrative nature. When presenting or framing their work, neoliberal economists tend to tell sto­ries about supply and demand, unintended consequences, and transaction costs in order to justify certain policy positions. These stories often make sense, and warn policymakers against simplistic solutionism