"Kei Sanada" is my internet alias. My hobby is algorithmic trading in the FOREX market, Quantopian.
Profession
Information technology consultant
・Gained experience in all processes in system development, proposal, requirement definition, conceptual/detail design, build/test, and maintenance.
・Assigned to CRM section of consulting farm from September 2002. Participated in the proposal and design/development of SFA/CRM systems.
・Worked on projects for the government, chemistry maker, precision apparatus maker, communication business, and finance business.
Sales
・Gained experience in corporate sales, existing customers, and prospects, as well as the development of new products.
・Created knowledge database of sales tools.
Internal IT System Dept.
・Internal IT System planning, development, operation and maintenance
https://youtu.be/gu8uTTURudA
This article is dedicated to a new and perspective direction in machine learning - deep learning or, to be precise, deep neural networks. This is a brief review of second generation neural networks, the architecture of their connections and main types, methods and rules of learning and their main disadvantages followed by the history of the third generation neural network development, their main types, peculiarities and training methods. Conducted are practical experiments on building and training a deep neural network initiated by the weights of a stacked autoencoder with real data. All the stages from selecting input data to metric derivation are discussed in detail. The last part of the article contains a software implementation of a deep neural network in an Expert Advisor with a built-in indicator based on MQL4/R.
https://www.mql5.com/en/code/15505
https://www.mql5.com/en/forum/149767
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