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Schița de curs
Introducere în Neural Networks
- Ce sunt Neural Networks
- Care este starea actuală a aplicațiilor de rețele neuronale
- Neural Networks vs modele de regresie
- Aprenderea監督與非監督學習
可用包的概述
- nnet、neuralnet 和其他
- 包之間的差異及其限制
- 可視化神經網絡
應用Neural Networks
- 神經元和神經網絡的概念
- 大腦的簡化模型
- 神經元的機會
- XOR 問題以及值分佈的性質
- .sigmoidal 的多態性質
- .其他激活函數
- .構建神經網絡
- .連接神經元的概念
- .神經網絡作為節點
- .建立網絡
- .神經元
- .層
- .比例
- .輸入和輸出數據
- 範圍 0 到 1
- 正規化
- 學習 Neural Networks
- 反向傳播
- 傳播步驟
- 網絡訓練算法
- .應用範圍
- .估計
- .通過近似的可能性問題
- .示例
- OCR 和圖像模式識別
- 其他應用程序
- 實現神經網絡建模工作以預測上市公司股票價格
Cerințe
Programming în orice limbaj de programare recomandat.
14 ore
Mărturii (3)
I mostly enjoyed the graphs in R :))).
Faculty of Economics and Business Zagreb
Curs - Neural Network in R
Tradus de catre o masina
We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.
Tea Poklepovic
Curs - Neural Network in R
Tradus de catre o masina
I liked the new insights in deep machine learning.
Josip Arneric
Curs - Neural Network in R
Tradus de catre o masina