斯坦福cs231n课程笔记pdf版本，包括note，assignment

[{"title":"（ 16 个子文件 10.91MB ） 斯坦福cs231n课程笔记pdf版本，包括note，assignment","children":[{"title":"cs231n笔记","children":[{"title":"5.Neural Networks Part 1 Setting up the Architecture.pdf <span style='color:#111;'> 949.83KB </span>","children":null,"spread":false},{"title":"6.Neural Networks Part 2 Setting up the Data and the Loss.pdf <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"assignment2.pdf <span style='color:#111;'> 165.57KB </span>","children":null,"spread":false},{"title":"1.Image Classification Data-driven Approach, k-Nearest Neighbor, trainvaltest splits.pdf <span style='color:#111;'> 1.80MB </span>","children":null,"spread":false},{"title":"11.Transfer Learning and Fine-tuning Convolutional Neural Networks.pdf <span style='color:#111;'> 101.09KB </span>","children":null,"spread":false},{"title":"Python Numpy Tutorial.pdf <span style='color:#111;'> 686.52KB </span>","children":null,"spread":false},{"title":"8.Putting it together Minimal Neural Network Case Study.pdf <span style='color:#111;'> 632.05KB </span>","children":null,"spread":false},{"title":"IPython Tutorial.pdf <span style='color:#111;'> 560.78KB </span>","children":null,"spread":false},{"title":"9.Convolutional Neural Networks Architectures, Convolution Pooling Layers.pdf <span style='color:#111;'> 1.16MB </span>","children":null,"spread":false},{"title":"assignment3.pdf <span style='color:#111;'> 167.63KB </span>","children":null,"spread":false},{"title":"4.Backpropagation, Intuitions.pdf <span style='color:#111;'> 558.35KB </span>","children":null,"spread":false},{"title":"assignment1.pdf <span style='color:#111;'> 163.43KB </span>","children":null,"spread":false},{"title":"10.Understanding and Visualizing Convolutional Neural Networks.pdf <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false},{"title":"2.Linear classification Support Vector Machine, Softmax.pdf <span style='color:#111;'> 1.02MB </span>","children":null,"spread":false},{"title":"7.Neural Networks Part 3 Learning and Evaluation.pdf <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"3.Optimization Stochastic Gradient Descent.pdf <span style='color:#111;'> 676.15KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]