Deep Learning and Its Implications

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Deep Learning and Its Parallelization: Concepts and Instances

......................................................................................................................... 3 1 Introduction ............................................................................................................. 3 1.1 Application Background ............................................................................... 4 1.2 Performance Demands for Deep L...

متن کامل

Provide a stock price forecasting model using deep learning algorithms and its use in the pricing of Islamic bank stocks

Predicting stock prices is complicated; various components, such as the general state of the economy, political events, and investor expectations, affect the stock market. The stock market is in fact a chaotic nonlinear system that depends on various political, economic and psychological factors. To overcome the limitations of traditional analysis techniques in predicting nonlinear patterns, ex...

متن کامل

The Saying/Showing Distinction in Early Wittgenstein and Its Implications

 Jafar Morvarid[1]  In this paper, I shall try to clarify the saying/showing distinction and to emphasize the role of this distinction in constructing a coherent picture of language and the world. In order to properly understand the differences between the sayable and the showable, I will throw light on the limits of language and the world. I will explain why it is impossible to say the showab...

متن کامل

Mariana: Tencent Deep Learning Platform and its Applications

Deep learning gains lots of attentions in recent years and is more and more important for mining values in big data. However, to make deep learning practical for a wide range of applications in Tencent Inc., three requirements must be considered: 1) Lots of computational power are required to train a practical model with tens of millions of parameters and billions of samples for products such a...

متن کامل

Deep Learning for Real-Time Crime Forecasting and its Ternarization

Real-time crime forecasting is important. However, accurate prediction of when and where the next crime will happen is difficult. No known physical model provides a reasonable approximation to such a complex system. Historical crime data are sparse in both space and time and the signal of interests is weak. In this work, we first present a proper representation of crime data. We then adapt the ...

متن کامل

ذخیره 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: TRENDS IN THE SCIENCES

سال: 2019

ISSN: 1342-3363,1884-7080

DOI: 10.5363/tits.24.2_48