深度学习

MiniMind 学习指北(六)：LoRA 02-13

模型的 generate 方法 02-11

MiniMind 学习指北(五)：SFT 02-10

MiniMind 学习指北(四)：评估 01-25

MiniMind 学习指北(三)：预训练 01-24

MiniMind 学习指北(二)：Tokenizer 01-23

MiniMind 学习指北(一)：Model 01-22

Loss Function 12-27

LSTM 12-19

CS224N Final Project-MinBert 12-11

CS224N Lecture 12: Neural Network 12-02

CS224N Lecture 10: Post-Training 12-01

Optimizer 12-01

CS224N Assignment 4 11-30

CS224N Assignment 2 11-30

Bilateral LSTM 11-27

CS224N Lecture 9: Pretraining 11-27

CS224N Lecture 8: Self-Attention and Transformers 11-24

CS224N Lecture 7: Attention, Final Project and LLM intro 11-23

CS224N Lecture 6: Sequence to Sequence Models 11-22

CS224N Lecture 5: Recurrent Neural Networks 11-22

CS224N Lecture 4: Dependency Parsing 11-21

CS224N Assignment 1 11-21

CS224N Assignment 3 11-20

RNN 11-19

CS224N Lecture 2: Word Vectors and Language Models 11-19

CS224N Lecture 3: Backpropagation, Neural Network 11-19

CS224N Lecture 1: Intro and Word Vectors 11-05