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課程簡介
Neural Networks 簡介
- 什麼是 Neural Networks
- 神經網路應用的現狀是什麼
- Neural Networks 與回歸模型
- 監督學習和無監督學習
可用套件概述
- NNET、NeuralNet 等
- 軟體包和itls限制之間的差異
- 可視化神經網路
套用 Neural Networks
- 神經元和神經網路的概念
- 大腦的簡化模型
- 機會神經元
- 異或問題和值分佈的性質
- 乙狀結腸的多態性
- 其他功能已啟動
- 神經網路的構建
- 神經元連接的概念
- 神經網路作為節點
- 構建網路
- 神經元
- 層
- 尺度
- 輸入和輸出數據
- 範圍 0 到 1
- 正常化
- 學習 Neural Networks
- 向後傳播
- 步驟傳播
- 網路訓練演算法
- 應用範圍
- 估計
- 近似的可能性問題
- 例子
- OCR 和圖像模式識別
- 其他應用
- 實現預測上市股票價格的神經網路建模作業
最低要求
建議使用任何程式設計語言進行程式設計。
14 時間:
客戶評論 (5)
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
我真的從現實生活中的實際例子中受益匪淺。
Wioleta
Course - Data and Analytics - from the ground up
機器翻譯
靈活友好的風格。確切地瞭解對我有用和相關的內容。
Jenny
Course - Advanced R
機器翻譯