CS231n 2017 中英字幕
size: 11.75 GB
|- 9.1 CNN架构.mp4 - 453.50 MB
|- 9. CNN Architectures.srt - 115.00 kB
|- 9. CNN Architectures.pdf - 2.30 MB
|- 9. CNN Architectures.mp4 - 516.10 MB
|- 8.1 深度学习软件.mp4 - 430.50 MB
|- 8. Deep Learning Software.srt - 146.00 kB
|- 8. Deep Learning Software.pdf - 4.50 MB
|- 8. Deep Learning Software.mp4 - 488.00 MB
|- 7.3 迁移学习.mp4 - 19.20 MB
|- 7.2 正则化.mp4 - 45.60 MB
|- 7.1 更好的优化.mp4 - 160.10 MB
|- 7. Training Neural Networks II.srt - 143.00 kB
|- 7. Training Neural Networks II.mp4 - 458.70 MB
|- 7. Training Neural Networks II.pdf - 2.70 MB
|- 6.2 批量归一化.mp4 - 123.10 MB
|- 6.1 激活函数.mp4 - 159.70 MB
|- 6. Training Neural Networks I.srt - 127.00 kB
|- 6. Training Neural Networks I.pdf - 3.00 MB
|- 6. Training Neural Networks I.mp4 - 508.40 MB
|- 5.3 视觉之外的卷积神经网络.mp4 - 62.70 MB
|- 5.2 卷积和池化.mp4 - 127.50 MB
|- 5.1 历史.mp4 - 62.20 MB
|- 5. Convolutional Neural Networks.srt - 106.00 kB
|- 5. Convolutional Neural Networks.pdf - 10.40 MB
|- 5. Convolutional Neural Networks.mp4 - 454.90 MB
|- 4.2 神经网络.mp4 - 59.30 MB
|- 4.1 反向传播.mp4 - 150.30 MB
|- 4. Introduction to Neural Networks.srt - 120.00 kB
|- 4. Introduction to Neural Networks.pdf - 2.60 MB
|- 4. Introduction to Neural Networks.mp4 - 416.80 MB
|- 3.2 优化.mp4 - 100.70 MB
|- 3.1 损失函数.mp4 - 192.80 MB
|- 3. Loss Functions and Optimization.srt - 133.00 kB
|- 3. Loss Functions and Optimization.pdf - 4.60 MB
|- 3. Loss Functions and Optimization.mp4 - 502.50 MB
|- 2.3 线性分类I.mp4 - 49.60 MB
|- 2.2 K最近邻算法.mp4 - 74.40 MB
|- 2.1 数据驱动方法.mp4 - 82.70 MB
|- 2. Image Classification.srt - 112.00 kB
|- 2. Image Classification.pdf - 5.30 MB
|- 2. Image Classification.mp4 - 395.20 MB
|- 16. Adversarial Examples and Adversarial Training.srt - 140.00 kB
|- 16. Adversarial Examples and Adversarial Training.pdf - 4.70 MB
|- 16. Adversarial Examples and Adversarial Training.mp4 - 473.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.srt - 95.00 kB
|- 15. Efficient Methods and Hardware for Deep Learning.pdf - 8.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.mp4 - 614.30 MB
|- 14.2 Q-Learning,Actor-Critic算法.mp4 - 164.60 MB
|- 14.1 策略梯度，硬注意.mp4 - 42.30 MB
|- 14. Deep Reinforcement Learning.srt - 104.00 kB
|- 14. Deep Reinforcement Learning.pdf - 1.60 MB
|- 14. Deep Reinforcement Learning.mp4 - 377.60 MB
|- 13.3 生成式对抗网络.mp4 - 130.50 MB
|- 13.2 变分自编码器.mp4 - 104.50 MB
|- 13.1 Pixel RNN_CNN.mp4 - 64.30 MB
|- 13. Generative Models.srt - 116.00 kB
|- 13. Generative Models.pdf - 4.30 MB
|- 13. Generative Models.mp4 - 466.20 MB
|- 12.2 DeepDream和风格迁移.mp4 - 145.90 MB
|- 12.1 特征可视化,倒置,对抗样本.mp4 - 321.10 MB
|- 12. Visualizing and Understanding.srt - 145.00 kB
|- 12. Visualizing and Understanding.pdf - 15.80 MB
|- 12. Visualizing and Understanding.mp4 - 572.10 MB
|- 11.3 识别.mp4 - 176.60 MB
|- 11.2 定位.mp4 - 38.20 MB
|- 11.1 分割.mp4 - 94.70 MB
|- 11. Detection and Segmentation.srt - 132.00 kB
|- 11. Detection and Segmentation.pdf - 7.20 MB
|- 11. Detection and Segmentation.mp4 - 507.90 MB
|- 10.3 图像标注,视觉问答,Soft attention模型.mp4 - 155.10 MB
|- 10.2 语言模型.mp4 - 65.10 MB
|- 10.1 RNN,LSTM,GRU.mp4 - 66.20 MB
|- 10. Recurrent Neural Networks.srt - 148.00 kB
|- 10. Recurrent Neural Networks.pdf - 5.60 MB
|- 10. Recurrent Neural Networks.mp4 - 433.90 MB
|- 1.3 课程后勤.mp4 - 77.30 MB
|- 1.2 计算机视觉历史背景.mp4 - 224.20 MB
|- 1.1 计算机视觉概述.mp4 - 39.60 MB
|- 1. Introduction.pdf - 16.20 MB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.srt - 79.00 kB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.mp4 - 203.50 MB