[toc] 1. Towards Principled Methods for Training Generative Adversarial ...
[toc] 1. Unsupervised Representation Learning with Deep Convolutional Ge...
[toc] 1. InfoGAN: Interpretable Representation Learning by Information M...
[toc] 1. Maxout Networks arXiv:1302.4389 [stat.ML]tensorflow2代碼:https://...
[toc] 1. Conditional Generative Adversarial Nets arXiv:1411.1784 [cs.LG]...
[toc] 1. Generative Adversarial Nets arXiv:1406.2661 [stat.ML]tensorflow...
樸素貝葉斯:基于概率論的分類(lèi)方法 優(yōu)點(diǎn):在數(shù)據(jù)較少的情況下仍然有效炎咖,可以處理多類(lèi)別問(wèn)題赃泡。 缺點(diǎn):對(duì)于輸入數(shù)據(jù)的準(zhǔn)備方式較為敏感。 適用數(shù)據(jù)類(lèi)型:...
日期:2019.05.26參考:http://www.deeplearning.ai/ai-notes/initialization/ 神經(jīng)網(wǎng)絡(luò)...
決策樹(shù) 正方形代表判斷模塊(decision block)乘盼,橢圓形代表終止模塊(terminating block)升熊,表示已經(jīng)得出結(jié)論,可以終止...