ile:CVPR2020Papers.zip file:人工智能大纲升级版本.pdf file:论文集索引.jpg file:9. 8-论文总结分析.mp4 file:8. 7-BERT模型训练策略.mp4 file:7. 6-向量特征编码方法.mp4 file:6. 5-输入数据特殊编码字符解析.mp4 file:5. 4-预训练模型的作用.mp4 file:4. 3-模型在NLP领域应用效果.mp4 file:1. 课程介绍.mp4 file:13-额外补充-Resnet论文解读.mp4 file:ICCV-2.zip file:5. 4-基于图卷积构建人体拓扑关系.mp4 file:1. 1-关键点位置特征构建.mp4 file:Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf file:4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf file:1512.03385v1_Deep Residual Learning for Image Recognition.pdf file:1506.02025_Spatial Transformer Networks.pdf file:1506.01497v3_Faster R-CNN.pdf file:1412.2306v2_Deep Visual-Semantic Alignments for Generating Image Descriptions.pdf file:1409.1556v6_VERY DEEP CONVOLUTIONAL Networks.pdf file:1406.2661v1_Generative Adversarial Nets.pdf file:1311.2901v3_Visualizing and Understanding Convolutional Networks.pdf file:1311.2524v5_R_CNN.pdf file:Deep-Learning-with-PyTorch-Tutorials.zip file:9. 课时9 LSTM中Layer的使用.mp4 file:6. 课时6 项目实战-时间序列预测问题.mp4 file:3. 课时3 循环神经网络基本原理-2.mp4 file:10. 课时10 RNN训练难题—梯度弥散与梯度爆炸.mp4 file:9 GAN实战-1.flv file:7 EM距离.flv file:3 生成对抗网络.flv file:2 画家的成长历程.flv