參考博客

1. 【NIPS 主旨演講】Yann LeCun：用預(yù)測學(xué)習(xí)替代無監(jiān)督學(xué)習(xí)
2. 計(jì)算機(jī)視覺和 CNN 發(fā)展十一座里程碑
3. Generative Models
4. Generating Videos with Scene Dynamics
5. Teaching machines to predict the future

• 參考論文

  1. Resnet模型，圖像分類，超過人類的計(jì)算機(jī)識(shí)別水平。Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  2. 圖像檢測 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. 圖像分割Conditional Random Fields as Recurrent Neural Networks
  4. 圖像標(biāo)注，看圖說話 Show and Tell: A Neural Image Caption Generator
  5. 文字生成圖像Generative Adversarial Text to Image Synthesis
  6. 強(qiáng)化學(xué)習(xí)玩flyppy bird Using Deep Q-Network to Learn How To Play Flappy Bird
  7. 強(qiáng)化學(xué)習(xí)玩Atari游戲 Playing Atari with Deep Reinforcement Learning
  8. 生成對(duì)抗網(wǎng)絡(luò) Generative Adversarial Networks
  9. 條件生成對(duì)抗網(wǎng)絡(luò)Conditional Generative Adversarial Nets
  10. 生成對(duì)抗網(wǎng)絡(luò)做圖像超分辨率Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  11. 深度卷積生成對(duì)抗網(wǎng)絡(luò)Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  12. 由圖片推演視頻Generating Videos with Scene Dynamics
  13. 視頻預(yù)測和無監(jiān)督學(xué)習(xí)Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

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