摘要: 1. Question Given a collection of distinct numbers, return all possible permutations. For example, [1,2,3] have the following permutations: [ [1,2,3], 阅读全文
posted @ 2017-11-12 21:13 清水汪汪 阅读(117) 评论(0) 推荐(0) 编辑
摘要: 1. Question Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers. If such arrangement i 阅读全文
posted @ 2017-11-12 20:32 清水汪汪 阅读(146) 评论(0) 推荐(0) 编辑
摘要: 1. Parameter pruning and sharing 1.1 Quantization and Binarization "Compressing deep convolutional networks using vector quantization" "Quantized conv 阅读全文
posted @ 2017-11-12 19:39 清水汪汪 阅读(5153) 评论(2) 推荐(0) 编辑
摘要: 论文地址:https://arxiv.org/abs/1602.07360 模型地址:https://github.com/DeepScale/SqueezeNet 1. 论文思想 提出一种新的卷积 组合方式 替代原来的3 3的卷积。类似于bottleneck layer减少参数数目。但是不太像Mo 阅读全文
posted @ 2017-11-12 14:50 清水汪汪 阅读(1254) 评论(0) 推荐(0) 编辑
摘要: Convolutional Neural Networks "ImageNet Models" "Architecture Design" "Activation Functions" "Visualization" "Fast Convolution" "Low Rank Filter Appro 阅读全文
posted @ 2017-11-12 10:55 清水汪汪 阅读(1911) 评论(0) 推荐(0) 编辑