文件名称：斯坦福cs231n课程笔记pdf版本，包括note，assignment
文件大小：10.91MB
文件格式：ZIP
更新时间：2019-08-19 03:53:29
cs231n 课程笔记 非slide
斯坦福cs231n课程笔记pdf版本，包括note，assignment,对了，是英文原版的
【文件预览】：
cs231n笔记
----5.Neural Networks Part 1 Setting up the Architecture.pdf(950KB)
----6.Neural Networks Part 2 Setting up the Data and the Loss.pdf(1.01MB)
----assignment2.pdf(166KB)
----1.Image Classification Data-driven Approach, k-Nearest Neighbor, trainvaltest splits.pdf(1.8MB)
----11.Transfer Learning and Fine-tuning Convolutional Neural Networks.pdf(101KB)
----Python Numpy Tutorial.pdf(687KB)
----8.Putting it together Minimal Neural Network Case Study.pdf(632KB)
----IPython Tutorial.pdf(561KB)
----9.Convolutional Neural Networks Architectures, Convolution Pooling Layers.pdf(1.16MB)
----assignment3.pdf(168KB)
----4.Backpropagation, Intuitions.pdf(558KB)
----assignment1.pdf(163KB)
----10.Understanding and Visualizing Convolutional Neural Networks.pdf(1.04MB)
----2.Linear classification Support Vector Machine, Softmax.pdf(1.02MB)
----7.Neural Networks Part 3 Learning and Evaluation.pdf(1.2MB)
----3.Optimization Stochastic Gradient Descent.pdf(676KB)