Although the French physiocrats of the 18th century associated entre preneurship with agriculture, in later years the term gradually assumed a primarily industrial connotation. Today it is rarely used to refer to an agricultural activity. Pleading that the attributes required by successful farmers, particularly those producing cash crops, are in many ways similar to those commonly associated with industrial entrepreneurs, the authors of this paper discuss the case of a group of cotton growers in Andhra Pradesh to emphasise how the lack of relevant entrepreneurial capabilities can lead an ostensibly successful agricultural operation to tragic failure.
Indian experiences have demonstrated that a well-conceived training inter vention could augment entrepreneurship. Garnished by the nuances of the newly developed conceptual paradigms perceived in a contextual setting, an intervention that is well conceived improves the sustainability as well as the growth potential of enterprises. The author makes an attempt through a conceptual review of the literary contributions to draw useful insights, which are likely to serve as inputs to design entrepreneurship training. The paper sets out that clarity on concepts like risk perception could help trainers evolve appropriate inputs and implement the same. This indicative research draws attention beyond just satisfying the research zeal. It calls upon the need to disseminate research findings to benefit training. The paper argues that updating of concepts is a necessary condition for increasing the effective ness of training and puts a caution to trainers against possible dilutions.
Photographic training can result in new photographs that, to human observers, appear to be at least superficially authentic, with many realistic features. will discuss a number of intriguing GAN applications in order to help you develop an understanding of the types of problems where GANs can be used and useful. It is not an exhaustive list, but it includes numerous examples of GAN applications that have garnered media attention. This Paper Proposes a Framework for Generating Photorealistic Photos of real time objects (FGPPO) using Adam Optimizer by Generative Adversarial Networks.
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