Schedule
Deep Learning
| Unit | Topic | Materials |
|---|
| 01 | Overview, Linear Algebra, and NDArray | 概述、线性代数和NDArray |
| 03 | Derivatives, Backpropagation, and Complexity | 导数、逆向传播和复杂度 |
| 04 | Linear Methods and Optimization | 线性方法、基础优化和层序回归 |
| 05 | Maximum Likelihood and Logistic Regression | 最大似然估计和逻辑回归 |
| 06 | Multilayer Perceptrons | 多层感知机 |
| 08 | Numerical Stability, Activations, and Hardware | 数值稳定性、激活函数和硬件 |
| 11 | Convolution and Pooling | 卷积和汇聚层 |
| 12 | LeNet, AlexNet, VGG, and NiN | LeNet、AlexNet、VGG和NiN |
| 13 | Inception, Batch Normalization, and Residual Networks | Inception、批量归一化和残差网络 |
| 15 | Image Augmentation, Fine-Tuning, and Style Transfer | 图像增广、微调和样式迁移 |
| 16 | Object Detection and Training Techniques | 目标检测、计算机视觉训练技巧 |
| 18 | Sequence Models | 序列模型 |
| 19 | Recurrent Neural Networks | 循环神经网络 |
| 20 | Advanced Recurrent Neural Networks | 高级循环神经网络 |
| 24 | Attention and Vision Transformers | 注意力机制
· ViT |
| 25 | Optimization | 优化问题 |
Language Models
| Unit | Topic | Materials |
|---|
| 00 | Language Model Overview | 语言模型概述 |
| 01 | Text Preprocessing | 文本预处理 |
| 02 | Statistical Language Models | 统计语言模型 |
| 03 | Word Embeddings | 词嵌入 |
| 04 | Sequence-to-Sequence Models | Seq2seq 模型 |
| 05 | Pretrained Models | 预训练模型 |
3D Vision
Covered topics include ray tracing of volume densities, EWA volume splatting, NeRF, and 3D Gaussian Splatting.