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• file:大模型开发手册.pdf
• file:代码缺失下这个.zip
• file:资源用前须知.txt
• file:吴恩达老师网站地址.txt
• file:27. 3.3 计算神经网络的输出.mp4
• file:73. 3.3 超参数训练的实践：Pandas VS Caviar.mp4
• file:145. 4.6 什么是神经风格转换？.mp4
• file:96. 2.1 进行误差分析.mp4
• file:18. 2.12 向量化的更多例子.mp4
• file:15. 2.9 logistic 回归中的梯度下降法.mp4
• file:100. 2.5 不匹配数据划分的偏差和方差.mp4
• file:60. 1.14 关于梯度检验实现的注记.mp4
• file:161. 1.11 双向神经网络.mp4
• file:35. 3.11 随机初始化.mp4
• file:代码 2023-Machine-Learning-Specialization-main.zip
• file:吴恩达机器学习mp4.zip
• file:机器学习配套笔记.pdf
• file:machine-learning-2014.iso
• file:机器学习吴恩达mp4.iso
• file:全套PPT.zip
• file:machine-learning-yearning-cn-master.zip
• file:L5_student.ipynb
• file:Lesson_4-Quantization.ipynb
• file:predibase_lorax.ipynb
• file:GenAI4E Slides.zip
• file:05_question_answering.ipynb
• file:01_document_loading.ipynb
• file:03_vectorstores_and_embeddings.ipynb
• file:5. 推断 Inferring.ipynb
• file:2. 提示原则 Guidelines.ipynb
• file:第7集 扩展.mp4
• file:9. 总结.md
• file:4. 文本概括 Summarizing.ipynb