文件名称：CS231n深度视觉学习
文件大小：87.78MB
文件格式：RAR
更新时间：2021-02-03 04:04:55
计算机视觉
斯坦福大学，李飞飞深度学习课件，跟着B站的课程一起进入计算机深度学习领域。
【文件预览】：
CS231n深度视觉学习
----cs231n_2017_lecture5 Convolutional Neural Networks.pdf(10.38MB)
----cs231n_2017_lecture16 Adversarial Examples and Adversarial Training.pdf(4.75MB)
----cs231n_2017_lecture6 Training Neural Networks I.pdf(3.04MB)
----cs231n_2017_lecture15 Efficient Methods and Hardware for Deep Learning.pdf(8MB)
----cs231n_2017_lecture13 Generative Models.pdf(4.29MB)
----cs231n_2017_lecture2 Image Classification.pdf(5.3MB)
----cs231n_2017_lecture3 Loss Functions and Optimization.pdf(4.63MB)
----cs231n_2017_lecture7 Training Neural Networks II.pdf(2.73MB)
----cs231n_2017_lecture14 Deep Reinforcement Learning.pdf(1.64MB)
----cs231n_2017_lecture4 Introduction to Neural Networks.pdf(2.62MB)
----cs231n_2017_lecture9 CNN Architectures.pdf(2.34MB)
----cs231n_2017_lecture10 Recurrent Neural Networks.pdf(5.62MB)
----cs231n_2017_lecture8 Deep Learning Software.pdf(4.51MB)
----cs231n_2017_lecture1 Introduction to Convolutional Neural Networks for Visual Recognition.pdf(16.2MB)
----cs231n_2017_lecture11 Detection and Segmentation.pdf(7.18MB)
----cs231n_2017_lecture12 Visualizing and Understanding.pdf(15.79MB)