baidu闲聊对话机器人plato 1 - xl
baidu闲聊对话机器人plato 1 - xl
Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation (ACM TOG 2008)
T. Rakthanmanon, B. Campana, A. Mueen, et al., Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping, KDD (2012) (Best Paper)
Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications such as evaluating image capture pipelines, storage techniques and sharing media. Despite the subjective nature of this problem, most existing methods only predict the mean opinion score provided by datasets such as AVA and TID2013. Our approach differs from others in that we predict the distribution of human opinion scores using a convolutional neural network. Our architecture also has the advantage of being significantly simpler than other methods with comparable performance. Our proposed approach relies on the success (and retraining) of proven, state-of-the-art deep object recognition networks. Our resulting network can be used to not only score images reliably and with high correlation to human perception, but also to assist with adaptation and optimization of photo editing/enhancement algorithms in a photographic pipeline. All this is done without need of a “golden” reference image, consequently allowing for single-image, semantic- and perceptually-aware, no-reference quality assessment.
AVA(aesthetic visual analysis)图像质量评价数据集缺失样本下载 缺失样本总数22,有效下载20
微软office自带公式编辑器使用教程(英文版) To insert an equation using the keyboard, press ALT+=, and then type the equation. You can insert equation symbols outside a math region by using Math Auto Correct. For more information, see Use Math Auto Correct rules outside of math regions check box. You can also create math equations using on the keyboard using a combination of keywords and math autocorrect codes. New to Word for Office 365 subscribers is the ability to type math using the La Te X syntax; details described below.
深度学习 Deep Learning with Python 2017 经典的深度学习教程。强烈推荐下载学习。最新的深度学习教程。 这本书向您介绍了深度学习的桥梁框架如keras实践的学术现状和工业国家之间的差距。 本书简要介绍了深层学习的数学前提和基本原理,使本书成为希望深入学习的软件开发人员的良好起点。还包括了一个简短的深入学习架构的调查。 使用Python进行深入学习还将介绍自动微分和GPU计算的关键概念,而在深入进行大规模实验时,这并不是深入学习的核心概念。 Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments.
Python 程式語言到底是什麼 為什麼 Python 可以在程式設計領域快速掘起 如何開始使用 Python for Rhino 5
哈希现金(Hashcash)最初是作为一种防止电子邮件、匿名邮件转发器占用网络系统资源的机制,自1997年以来五年后,本文提出一种改进措施,将哈希现金应用于其它领域。
ReadyFor4GB是傻瓜化破解Win7内存4GB限制工具,让32位系统能用上4G或者更大的内存。应该说是识别,但是内存还是不能很好的用尽,4G以上内存,推荐还是用64位系统。