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图像重建：遮挡损失与表示评价](https://deepnote.com/workspace/ise3309jingao-5ba66b0a-4283-4f5a-ae06-3f68d3201e99/project/38755e4e-23f6-4f5f-8c68-8a2e4114b1c1/notebook/b5ba27f2c5ba4ec0922208a7d5dc80a4?utm_source=openai&utm_medium=mcp&utm_campaign=openaimcp&utm_content=b5ba27f2c5ba4ec0922208a7d5dc80a4&utm_term=get_notebook)：先看真实输入、重建、误差，最后读冻结5NN。其模型是masked ConvAE，仍处理稠密网格；原MAE的可见token节省计算由 [少看图块为何省计算，又为何不是固定加速比](/course/blocks/mae-compute-not-sixteen-times.html) 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词典：拟合与重建](https://deepnote.com/workspace/ise3309jingao-5ba66b0a-4283-4f5a-ae06-3f68d3201e99/project/38755e4e-23f6-4f5f-8c68-8a2e4114b1c1/notebook/de39b998077f44cca4b8407085547766?utm_source=openai&utm_medium=mcp&utm_campaign=openaimcp&utm_content=de39b998077f44cca4b8407085547766&utm_term=get_notebook) 的MNIST patch词典。关于教师目标的旧拓展已由 [CLS 06 · 表示的三个检查：目标、信息与新域](https://deepnote.com/workspace/ise3309jingao-5ba66b0a-4283-4f5a-ae06-3f68d3201e99/project/38755e4e-23f6-4f5f-8c68-8a2e4114b1c1/notebook/c0645a4db6e04188ab5b119e87c53bed?utm_source=openai&utm_medium=mcp&utm_campaign=openaimcp&utm_content=c0645a4db6e04188ab5b119e87c53bed&utm_term=get_notebook) 统一组织，不需要在词典实验末尾再学一遍。最后回到 [P23 本页说明](/course/pages/l3-r2-p23.html)：重建好与新任务好，需要分别测量。","sha256":"bc4055cdc99830b8f219631da25dae26736fa6c22ea57660169ddb5b6ac76cde","chapter":{"id":"course","title":"读到这里，可以如何继续？"},"unit":{"id":"notebook-blocks/de414705e5654ffa86fc46358756877d","title":"读到这里，可以如何继续？"},"page":{"id":"reading-opening","title":"读到这里，可以如何继续？","number":1},"sectionTitle":"读到这里，可以如何继续？","currentQuestion":"读到这里，可以如何继续？","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-16809373208428ee38125fd6","nextBlock":null,"prerequisites":[{"id":"b-ebe1dafeb8bd4852ea9f6641","url":"#b-ebe1dafeb8bd4852ea9f6641","role":"section-title"},{"id":"b-7b0f0e57c727007b4c8f4d13","url":"#b-7b0f0e57c727007b4c8f4d13","role":"problem-context"}],"relatedBlocks":[]}]}