nn - 1939 Words

â€Å"The reality in all of this is that we must decide ourselves who we are and what we’d like to represent us†¦for it isn’t just Americans that tune in to popular programming; there are countless others around the planet that may never come across a black woman†¦and the image on TV is all they have to go by.† The phenomenon that black reality television has become in an overarching topic both in and outside the African American community. As the African American Community, especially women within the community continue to enjoy these shows for what they are worth, understanding both the good and bad, we must determine whether the stereotypes being emphasized and highlighted through shows like Real Housewives of Atlanta, Love and Hip Hop and Basketball Wives are detrimental to the way African American women are seen and how we see ourselves not only our generation, but for generations, decades and centuries to come. This paper will seek to not only tak e a closer look into two prominent African American women’s character traits depicted in popular reality shows, but also to find an answer to the hovering question of whether or not they are detrimental to the way we are seen. The depiction and debate whether is be positive or negative idea of blacks in television, is a relatively new concept. The first black appeared on television was in 1950, a mere 64 years ago. Beluah was a show that depicted the lives of a white family who hired a black, overweight housekeeper who wasShow MoreRelatedReferences:. Akhtar S, Wig Nn, Vama Vk, Pershad D, Verma866 Words   |  4 PagesReferences: Akhtar S, Wig NN, Vama VK, Pershad D, Verma SK. (1975) A phenomenologic analysis of symptoms in obsessive- compulsive neurosis. Br. J. Psychiatry Vol 127: 342–348. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed. text revision). Washington, DC: Author. Bienvenu, O. J., Samuels, J. F., Riddle, M. A., Hoehn-Saric, R., Liang, K. Y., Cullen, B. A., et al. (2000). The relationship of obsessive-compulsive disorder to possible spectrumRead MoreWhat Did I Learn About The Genetic Algorithms ( Gas ) And Neural Networks ( Nns )1362 Words   |  6 PagesWithin this paper, I will talk about not only what I learned in class, but also what I found to be interesting and what I will probably use in the future. The topics I feel I learned the most about were Genetic Algorithms (GAs) and Neural Networks (NNs). A GA is a learning model that owes its performance to a metaphor of some of the mechanisms of evolution observed in nature (such as sexual reproduction and the principle of survival of the fittest), are adaptive methods, and generally used in searchRead MoreUnit 19 Assignment Brief Marketing Planning February 2014 moderated by NN3857 Words   |  16 PagesICON COLLEGE OF TECHNOLOGY AND MANAGEMENT Pearson BTEC Level 5 HND in Business (QCF) Unit 19: Marketing Planning (QCF. L5) Session February 2014 Course work (Word limit 3500) HND Assignment Brief Programme title ML955 Pearson BTEC Level 5 HND in Business Unit number and title Unit 19 Marketing Planning Assignment number and title 1 of 1 McDonald’s: Repositioning the Golden Arches Mo Willan Module Leader Student name Assessor (receiving the work) Dr Mo Willan, Richard West, Abu NaserRead MoreThe Importance Of Feeding Performance In Premature Infants900 Words   |  4 Pages(Younesian, Yadegari, Soleimani, 2015). The ability of a preterm infant to orally feed is a mandatory requirement for discharge readiness from the neonatal intensive care unit (NICU) (Kish, 2014). An assessment of whether or not non-nutritive sucking (NNS) can be effective on the feeding performance of preterm infants is important (Younesian et al., 2015). Feeding Performance in Premature Infants An infant’s ability to feed demands three physical requirements: sucking, swallowing, and breathing (BacheRead MoreLiterature Search Strategy898 Words   |  4 Pageswere translated into English. Search terms that were included in the search were the following: preterm + feeding, preterm + sucking, non-nutritive sucking. Randomized search controlled trials or quasi-randomized trials were considered that compared NNS intervention in preterm infants. Selection Procedure Inclusion criteria. Upon completion of the literature search and thorough examination of the abstracts, inclusion, and exclusion criteria, thirteen articles were found that met criteria for theRead MoreWhat Is The Memory Consumption, Look On Convolution Layers Activity?1409 Words   |  6 Pagesclassifiers layers is given below [16]. for (int nnn = 0; nnn  ¡ Nn; nnn += Tnn) {for (int iii = 0; iii  ¡ Ni; iii += Tii) {for (int nn = nnn; nn  ¡ nnn + Tnn; nn += Tn) {for (int n = nn; n  ¡ nn + Tn; n++) sum[n] = 0; for (int ii = iii; ii  ¡ iii + Tii; ii += Ti) // — Original code — for (int n = nn; n nn + Tn; n++) {for (int i = ii; i ii + Ti; i++) sum[n] += synapse[n][i] * neuron[i]; for (int n = nn; n nn + Tn; n++) neuron[n] = sigmoid(sum[n]); }}} Consider the perceptronRead MoreSocial And Social Data Analysis1471 Words   |  6 PagesFiltering operation using k-NN cluster 2. Pruning methods 3. Social aware R-trees A. K-NN CLUSTER METHOD In K-NN cluster method describes group the similar users in each region. Given a set of query points and social data’s as input to the system then it retrieves a minimum user group. In the geo-social data contain two types of filtering includes: spatial filtering and social data filtering. These filtering done by K-NN clustering. The k-Nearest Neighbors algorithmic rule (or k-NN for short) could beRead MoreWhat Is A Generic Procedure For Building Fuzzy-Based Quality Prediction Model800 Words   |  4 Pagesavailable. In the same way (Kanmani et al. 2007 ) introduced the use of neural networks (NN) as a tool for predicting the software errors .( Yang et al. 2007) also proposed a software quality prediction model based on a fuzzy NN identify design errors in software products in the early stages of a software lifecycle. Besides, NN have been utilized to predict early a specific quality attributes. (Dolado, 2000) had used NN and GP to approve the segment based strategy for software size estimation. In additionRead MoreEssay On Time Series Forecasting1369 Words   |  6 Pagesirregularity. Classical time series analysis does not perform well on economics time series. Hence, the idea of applying Neural Networks (NN) to forecast exchange rate has been considered as an alternative solution. NN tries to emulate human learning capabilities, creating models that represent the neurons in the human brain. In this forecasting part you need to use an MLP-NN model to predict the next step-ahead exchange rate of USD/EUR. Daily data (exchange.xls) have been collected from March 2015 untilRead MoreHow Does The Band Pass Digital Filter Design Using Kaiser Window1594 Words   |  7 Pages5.6 Band Pass FIR Digital Filter Design using kaiser Window The band pass FIR digital filter has been analysed with hanning window by using FDA tool in the MATLAB. The cut off frequency has been estimated by using nn tool. 5.6.1 Training using Feed Forward Back Propagation (FFBP) artificial Neural Network Algorithm for kaiser Window Figure 5.11: trained network for kaiser window with FFBP Figure 5.12: performance plot for kaiser window with FFBP In above figure 5.12, it shows the performance