國際研究大樓光中廳 - Gushan District

4.6/5 基於 8 評論

Contact 國際研究大樓光中廳

地址 :

804, Taiwan, Kaohsiung City, Gushan District, Lianhai Rd, 70號國際研究大樓光中廳

電話 : 📞 +887
網站 : http://www.nsysu.edu.tw/
分類:
城市 : Lianhai Rd

804, Taiwan, Kaohsiung City, Gushan District, Lianhai Rd, 70號國際研究大樓光中廳
H
Hw Chuan Iris Chiou on Google

高級配備,座椅舒適,收音清晰!
Advanced equipment, comfortable seats and clear radio!
J
Joseph Lai on Google

地點在中山大學,階梯式演講廳,座位寬敞,有講台,貴賓休息室,相關設施齊全,適合80人以內的演講,論壇,說明會等,停車方便。
The venue is in Sun Yat-Sen University, a stepped lecture hall, spacious seats, podiums, VIP lounges, complete related facilities, suitable for lectures, forums, briefings, etc. within 80 people, convenient parking.
M
Ming-Yuan Huang on Google

睡覺很舒服
Sleeping very comfortable
顏財賜 on Google

科技部以「小國大戰略」思維,選定人工智慧(簡稱AI)、物聯網、量子電腦、生技醫療等作為台灣科研戰略重點核心,並於今年8月推動「AI創新研究中心專案計畫」,期望在核心硬體設施、演算法技術、智慧應用領域等面向多管齊下,建立AI創新生態圈,引導臺灣成為AI發展重鎮。 AI的科學研究萌芽於1950年代,但因當時的軟硬體設備條件不足,限制了AI的發展。近年來由於大容量的硬體設備、圖形處理器(GPU)的發展及以統計與數學奠基的演算法改進,加速計算能量的增長,使得AI的研究再度興起一波新的浪潮,也被認為是掀起第四波工業革命的核心。 AI的發展奠基於許多重要的統計思維與技術,如羅吉斯迴歸、貝氏統計(Bayesian statistics)、entropy、維度縮減、模型選擇(model selection)、正規法(regularization)等等。這些統計思維對於深度模型的成功學習不可或缺。此外深度學習亦仰賴於對大量數據的學習與分析,然而資料的蒐集與分析耗時且需要投入大量成本,統計理論於巨量資料分析與深度複 ?.學術精英的搖籃! ✔☁ 2018 ?.☕ ? ✋ No ?
The Ministry of Science and Technology has selected artificial intelligence (AI), Internet of Things, quantum computers, biotechnology and medical technology as the core of Taiwan's scientific research strategy based on the "small country strategy" thinking, and promoted the "AI Innovation Research Center" project in August this year. "I hope to establish an AI innovation ecosystem in the core hardware facilities, algorithm technology, and smart application areas, and guide Taiwan to become an important development center for AI." The scientific research of AI sprouted in the 1950s, but the lack of hardware and software equipment at that time limited the development of AI. In recent years, due to the development of large-capacity hardware devices and graphics processors (GPUs) and the improvement of algorithms based on statistics and mathematics, the growth of computing energy has accelerated, which has led to a new wave of research in AI. It is also considered It is the core of the fourth industrial revolution. The development of AI is based on many important statistical thinking and techniques, such as Logistic regression, Bayesian statistics, entropy, dimensionality reduction, model selection, regularization, etc. These statistical thinking is indispensable for the successful learning of deep models. In addition, deep learning also relies on the learning and analysis of large amounts of data. However, the collection and analysis of data is time-consuming and requires a lot of cost. Statistical theory is based on the analysis of large amounts of data and deep ?. The cradle of academic elites! ✔☁ 2018 ?.☕ ? ✋ No ?
陳冠宇 on Google

bad
洪敏榮 on Google

Very good service
A
Abhinav Ajith on Google

Excellent
d
dolce cantabile on Google

Nice place. Nice decoration. And nice view. I enjoy the view with the weather of december. It's a wonderful match!

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