SVM, Support Vector Machine 支持向量機(jī)程序
SVM, Support Vector Machine 支持向量機(jī)程序...
machine learning技術(shù)資料
?? 資源總數(shù)：693
?? 源代碼：49659
?? 電路圖：1
探索機(jī)器學(xué)習(xí)的無限可能，掌握未來科技的核心。本頁(yè)面匯集了693個(gè)精選資源，涵蓋從基礎(chǔ)理論到高級(jí)應(yīng)用的全方位內(nèi)容。無論是深度神經(jīng)網(wǎng)絡(luò)、支持向量機(jī)還是自然語(yǔ)言處理，這里都有詳盡解析。適用于智能硬件開發(fā)、自動(dòng)駕駛系統(tǒng)設(shè)計(jì)及大數(shù)據(jù)分析等多個(gè)前沿領(lǐng)域。立即加入，讓您的項(xiàng)目更加智能化！
?? machine learning熱門資料
查看全部693個(gè)資源 ?This is the machine-generated representation of a Handle Graphics object and its children. Note that
This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects are...
The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user
The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar a...
LVQ算法( Learning Vector Quantization
LVQ算法( Learning Vector Quantization，學(xué)習(xí)矢量量化網(wǎng)絡(luò))是一種基于模型（神經(jīng)網(wǎng)絡(luò)）的方法，本實(shí)驗(yàn)要實(shí)現(xiàn)的是對(duì)LVQ改進(jìn)的聚類方法——MLVQ（閆德勤等人提出）。該方法克服了LVQ算法對(duì)初值敏感的問題和廣義學(xué)習(xí)矢量量化(GLVQ)網(wǎng)絡(luò)算法性能不穩(wěn)定的缺點(diǎn)。(附文章)...
soda machine的實(shí)現(xiàn),可以進(jìn)行完整的simulation,但是在實(shí)現(xiàn)的時(shí)候有一點(diǎn)問題
soda machine的實(shí)現(xiàn),可以進(jìn)行完整的simulation,但是在實(shí)現(xiàn)的時(shí)候有一點(diǎn)問題...
?? machine learning源代碼
查看更多 ??? machine learning資料分類