# 人工智慧 - [人工智慧(AI)的歷史演變與重大突破](/1SkvWahGR8ShIoTJlBM9ZA) - [​圖靈測試:探討機器智慧的經典試驗](/qxRs93CNTniesmr4nPvycg) # 機器學習 ### 入門基礎知識 - [窺探機器學習以及深度學習領域](/uU3FSdDTRNOeXFXUrox2Zw) - [如何訓練出好模型呢?](/16J6KM5BSxCbJocJHcia_A) - [資料的劃分 - 訓練集、驗證集、測試集](/Hvyqdz0fS2iBfAo4knO58g) - [新手訓練模型攻略指引](/53_vrA0xQ32gGw4BleFK6A) ### 監督式學習(Supervised learning) - [線性/非線性回歸模型-Regression](/Q0s1eFlNQ0S7_o5Lz7fwqA) - [R Squared 與 Adjusted R Squared](/AQ1GvdwXS96d38-XzLVIAA) - [線性分類-邏輯回歸(Logistic Regression)](/Je1EDqh9QIOVxmCx91hWwg) - [貝氏分類器(Naïve Bayes)](/bnEW2VroQQqPx1zB_xEhhA) - [決策樹(Decision Tree)](/vD9NVejGSyybgTsb04vRTA) - [集成學習(Ensemble learning): Bagging, Boosting and Stacking](/uBBcSBv2QbqIvwlxoi5ihQ) - [K-Nearest Neighbors (KNN)](/8g7AoXCYQny36ktkcGpTGw) - [混淆矩陣(Confusion Matrix)](/fs6LPYqESl6o2DlVB9fuMQ) ### 非監督式學習(Unsupervised learning) - [K-Means Clustering](/li3EGK1bRySzM9cFQNvhvg) ### 自監督式學習(Self-supervised learning) - [自監督式學習 (Self-supervised Learning) - BERT、GPT](/qtojyxAZQkCjnpDqjh9GeA) - [Transformer 架構比較(Encoder-Only、Decoder-Only 與 Encoder-Decoder)](/_Jktcw5AQUWhsYf5YZjoSg) - [Transformer with Linear Attention](/kiFoKvZhSCWjXzPunbaBrA) - [混合專家模型(Mixture of Expert, MOE)](/fW2rJ6C4TkqAr9t2pu6khw) # 深度學習 ### 入門模型訓練 - [類神經網絡訓練不起來怎麼辦?- 1](/czWIJ0KkS0qmtiLEOwlteg) - [類神經網絡訓練不起來怎麼辦?- 2](/MB41OxD6T0aFY8BOOBPlAw) - [Overfitting v.s. Underfitting 以及其解決方式](/pKFzJD3JTWCVYab1emBfaA) - [Gadient descent & Backpropagation](/968bCcF9SfKWvMFgprlZUA) ### 模型架構 - [循環神經網絡(Recurrent Neural Network, RNN)](/e-NKHybnRc-y6gt2YL5sHg) - [卷積神經網路(Convolutional Neural Networks, CNN) ](/WebUK70-SBqBGlcyyU832w) - [生成式對抗網路 (Generative Adversarial Network, GAN)](/rnJHl_TnQb2jkoG0eR8x5Q) - [自注意力機制(Self-attention)](/uJzoXzdfTGu9O2HUPKU18w) - [Transformer](/EKzEZaQVTBGBcPyouqYEIw) - [變分自編碼器(VAE)與 Deepfake 應用介紹 ](/1nM05MwkRcixXTpT-5gdJA) ### 分散式訓練 - [利用多張 GPU 訓練大型語言模型:從 0 開始介紹 DeepSpeed, Flash Attention, Liger Kernel 和 Quantization](/OQsG7JvSTae6Epc7NcRegA) - [分散式訓練的類型:Data Parallel vs. Model Parallel vs. Pipeline Parallel](/oIqmLOIeR9muII28ALfhbA) - [訊息傳遞介面 (Message Passing Interface, MPI)](/hQimuqBaTsmOJnlckOLMgw) # Generative AI ### Large Language Modle - [ChatGPT 的原理與學習過程](/UerxtqdaRAe8eWE6CxpSQw) - [語言模型內部運作機制剖析(單個到整群神經元的運作機制)](/kWyL79TWQ1OC2PyQI-Qvpg) - [LLM 的推理策略 - Temperature、top-k、top-p](/HVbuI_1bTXmoXvjGG6HEbQ) - [檢索增強生成(Retrieval-Augmented Generation, RAG)](/Kahlt6CcRDKXP5dCxDgfSA) ### 自然語言處理 NLP - [文字前處理(Text Preprocessing)-1](/_EtfJFsYQtysTxZlpUZeQA) - [詞向量(Word Embedding)-2](/_jf1F14-QEmu_R6CKgOiZw) - [Byte Pair Encoding(BPE)](/QuZtyP_vRVmttNMSyx1RAg)
{"title":"目錄","description":"機器學習","contributors":"[{\"id\":\"95c68cb9-63b0-4753-b1e6-8e7279312ea4\",\"add\":5413,\"del\":2088,\"latestUpdatedAt\":1751871368132}]"}
Expand menu