ML
2025-01-25 人工神经网络 (ANN)
2025-01-25 循环神经网络 (RNN)
2025-01-25 注意力机制 (Attention Mechanisms)
2025-01-25 迁移学习 (Transfer Learning)
2025-01-25 权重 (Weight)
2025-01-25 偏置 (Bias)
2025-01-25 过拟合 (Overfitting)
2025-01-25 欠拟合 (Underfitting)
2025-01-25 正则化 (Regularization)
2025-01-25 Dropout
2025-01-25 批归一化 (Batch Normalization)
2025-01-25 自编码器 (Autoencoder)
2025-01-25 激活函数 (Activation Function)
2025-01-25 生成对抗网络 (GAN)
2025-01-25 注意力机制 (Attention Mechanism)
2025-01-25 嵌入层 (Embedding Layer)
2025-01-25 多层感知器 (MLP)
2025-01-25 数据预处理利器：归一化 (Normalization)
2025-01-25 池化层 (Pooling Layer)
2025-01-25 序列到序列模型 (Sequence-to-Sequence Model)
2025-01-25 主干网络 (Backbone Network)
2025-01-25 微调 (Fine-tuning)
2025-01-25 反向传播 (Backpropagation)
2025-01-25 超参数 (Hyperparameters)
2025-01-25 学习率 (Learning Rate)
2025-01-25 Softmax 函数 (Softmax Function)
2025-01-25 长短期记忆网络 (LSTM)
2025-01-25 梯度消失问题 (Vanishing Gradient Problem)
2025-01-25 数据增强 (Data Augmentation)
2025-01-25 批量大小 (Batch Size)
2025-01-25 优化器 (Optimizer)
2025-01-25 F1 分数 (F1 Score)
2025-01-25 卷积神经网络 (CNN)
2025-01-25 精度 (Precision)
2025-01-25 召回率 (Recall)
2025-01-25 ROC 曲线 (ROC Curve)
2025-01-25 曲线下面积 (AUC)
2025-01-25 早停法 (Early Stopping)
2025-01-25 特征缩放 (Feature Scaling)
2025-01-25 生成模型 (Generative Model)
2025-01-25 判别模型 (Discriminative Model)
2025-01-25 数据不平衡 (Data Imbalance)
2025-01-25 降维 (Dimensionality Reduction)
2025-01-25 深度学习 (Deep Learning)
2025-01-25 主成分分析 (PCA)
2025-01-25 非线性激活函数 (Nonlinear Activation Functions)
2025-01-25 批量训练 (Batch Training)
2025-01-25 随机梯度下降 (SGD)
2025-01-25 激活图 (Activation Maps)
2025-01-25 零样本学习 (Zero-Shot Learning)
2025-01-25 一次性学习 (One-Shot Learning)
2025-01-25 少样本学习 (Few-Shot Learning)
2025-01-25 胶囊网络 (CapsNets)
2025-01-25 轮次 (Epoch)
2025-01-25 注意力层 (Attention Layers)
2025-01-25 跳跃连接 (Skip Connections)
2025-01-25 Siamese 网络 (Siamese Networks)
2025-01-25 Triplet 损失 (Triplet Loss)
2025-01-25 自监督学习 (Self-Supervised Learning)
2025-01-25 交叉熵损失 (Cross-Entropy Loss)
2025-01-25 序列建模 (Sequence Modeling)
2025-01-25 空间变换网络 (Spatial Transformer Networks)
2025-01-25 教师强制 (Teacher Forcing)
2025-01-25 神经风格迁移 (Neural Style Transfer)
2025-01-25 特征提取 (Feature Extraction)
2025-01-25 标签平滑 (Label Smoothing)
2025-01-25 Lookahead 优化器：提升深度学习模型训练速度与稳定性的利器
2025-01-25 集束搜索 (Beam Search)
2025-01-25 知识蒸馏 (Knowledge Distillation)
2025-01-25 T-SNE (t-分布随机邻域嵌入)
2025-01-25 元学习 (Meta-Learning)
2025-01-25 神经架构搜索 (NAS)
2025-01-25 量化 (Quantization)
2025-01-25 自注意力 (Self-Attention)
2025-01-25 梯度下降 (Gradient Descent)
2025-01-25 中文分词 (Tokenization)
2025-01-25 词嵌入 (Word Embeddings)
2025-01-25 位置编码 (Positional Encoding)
2025-01-25 图神经网络 (GNNs)
2025-01-25 经验回放 (Experience Replay)
2025-01-25 课程学习 (Curriculum Learning)
2025-01-25 模型剪枝 (Model Pruning)
2025-01-25 持续学习 (Continuous Learning)
2025-01-25 偏差-方差权衡 (Bias-Variance Tradeoff)
2025-01-25 灾难性遗忘 (Catastrophic Forgetting)
2025-01-25 多模态学习 (Multimodal Learning)
2025-01-25 异常检测 (Anomaly Detection)
2025-01-25 分布外检测 (Out-of-Distribution Detection)
2025-01-25 卷积 (Convolution)
2025-01-25 池化 (Pooling)
2025-01-25 空洞卷积 (Dilated Convolutions)
2025-01-25 序列到序列学习 (Sequence-to-Sequence Learning)
2024-12-20 终于，BERT的替代品出现了：ModernBERT 隆重登场
2024-07-27 对抗样本 (Adversarial Examples)
2024-07-26 张量 (Tensor)
2024-07-03 Transformer 模型 (Transformer Models)
2023-11-20 梯度爆炸问题 (Exploding Gradient Problem)