文件名称：CS231n课程笔记
文件大小：10.92MB
文件格式：ZIP
更新时间：2022-05-18 13:28:13
CS231n
斯坦福大学计算机视觉课程CS231n的课程笔记，高清有代码。
【文件预览】：
2.Linear classification Support Vector Machine, Softmax.pdf
assignment1.pdf
5.Neural Networks Part 1 Setting up the Architecture.pdf
IPython Tutorial.pdf
3.Optimization Stochastic Gradient Descent.pdf
11.Transfer Learning and Fine-tuning Convolutional Neural Networks.pdf
8.Putting it together Minimal Neural Network Case Study.pdf
4.Backpropagation, Intuitions.pdf
10.Understanding and Visualizing Convolutional Neural Networks.pdf
assignment3.pdf
7.Neural Networks Part 3 Learning and Evaluation.pdf
assignment2.pdf
Python Numpy Tutorial.pdf
1.Image Classification Data-driven Approach, k-Nearest Neighbor, trainvaltest splits.pdf
6.Neural Networks Part 2 Setting up the Data and the Loss.pdf
9.Convolutional Neural Networks Architectures, Convolution Pooling Layers.pdf