File tree Expand file tree Collapse file tree 4 files changed +37
-9
lines changed Expand file tree Collapse file tree 4 files changed +37
-9
lines changed Original file line number Diff line number Diff line change @@ -156,6 +156,14 @@ TCP通过以下方式提供数据传输的可靠性:
156
156
157
157
参考:[ 腾讯面试TCP连接相关问题] ( https://blog.csdn.net/bian_qing_quan11/article/details/74999463 )
158
158
159
+ ## TCP 面向字节流的体现
160
+
161
+ - [ ] TODO
162
+
163
+ ## UDP 面向报文的体现
164
+
165
+ - [ ] TODO
166
+
159
167
## ISO的7层网络模型
160
168
161
169
口诀:应表会传网数物
Original file line number Diff line number Diff line change @@ -39,6 +39,14 @@ Pooling(降维,将低层次组合为高层次的特征)
39
39
40
40
多层次结构
41
41
42
+ ## 神经网络数据预处理方法有哪些?
43
+
44
+ - [ ] TODO
45
+
46
+ ## 神经网络怎样进行参数初始化?
47
+
48
+ - [ ] TODO
49
+
42
50
## 卷积
43
51
44
52
359
367
360
368
ReLU 相关变体
361
369
362
- #### ReLU激活函数为什么比sigmoid和tanh好?
370
+ #### ReLU 激活函数为什么比sigmoid和tanh好?
371
+
372
+ - [ ] TODO
373
+
374
+ #### ReLU 激活函数为什么能解决梯度消失问题?
363
375
364
376
- [ ] TODO
365
377
366
- #### ReLU激活函数为什么能解决梯度消失问题 ?
378
+ #### ReLU 有哪些变体 ?
367
379
368
380
- [ ] TODO
369
381
Original file line number Diff line number Diff line change 12
12
13
13
- [ ] TODO
14
14
15
+ ### RNN 常见的几种设计模式是怎样的?
16
+
17
+ - [ ] TODO
18
+
15
19
### RNN 为什么会梯度消失?
16
20
17
21
- [ ] TODO
20
24
21
25
- [ ] TODO
22
26
27
+ ### RNN中为什么要采用tanh而不是ReLu作为激活函数?
28
+
29
+ - [ ] TODO
30
+
23
31
### RNN和CNN对比,RNN对文本的时间序列的优点。
24
32
25
33
- [ ] TODO
Original file line number Diff line number Diff line change 126
126
- [ ] [ 收到第一个实习offer,开心!] ( https://www.nowcoder.com/discuss/169201 )
127
127
- [ ] [ 字节跳动算法岗面经] ( https://zhuanlan.zhihu.com/p/60570461 )
128
128
- [ ] [ 华为算法实习生一面面经] ( https://www.nowcoder.com/discuss/166606 )
129
- - [ ] [ 腾讯后台一面面经 + 更新二面面经] ( https://www.nowcoder.com/discuss/162246 )
130
- - [ ] [ 蚂蚁金服机器学习实习生一面凉经] ( https://www.nowcoder.com/discuss/165483 )
131
- - [ ] [ 腾讯数据分析实习生一面凉经] ( https://www.nowcoder.com/discuss/163386 )
132
- - [ ] [ 阿里高德算法实习生一面面经] ( https://www.nowcoder.com/discuss/162232 )
129
+ - [x ] [ 腾讯后台一面面经 + 更新二面面经] ( https://www.nowcoder.com/discuss/162246 )
130
+ - [x ] [ 蚂蚁金服机器学习实习生一面凉经] ( https://www.nowcoder.com/discuss/165483 )
131
+ - [x ] [ 腾讯数据分析实习生一面凉经] ( https://www.nowcoder.com/discuss/163386 )
132
+ - [x ] [ 阿里高德算法实习生一面面经] ( https://www.nowcoder.com/discuss/162232 )
133
133
- [ ] [ 2018 年 LeetCode 高频算法面试题汇总] ( https://leetcode-cn.com/explore/interview/card/top-interview-quesitons-in-2018/ )
134
- - [ ] [ 互联网公司最常见的面试算法题有哪些?] ( https://www.zhihu.com/question/24964987/answer/586425979 )
135
- - [ ] [ C++后台开发学习路线(已签腾讯sp)] ( https://www.nowcoder.com/discuss/164781 )
136
- - [ ] [ 【NLP/AI算法面试必备-1】学习NLP/AI,必须深入理解“神经网络及其优化问题”] ( https://zhuanlan.zhihu.com/p/56633392 )
134
+ - [ ] ♥♥ [ 互联网公司最常见的面试算法题有哪些?] ( https://www.zhihu.com/question/24964987/answer/586425979 )
135
+ - [x ] [ C++后台开发学习路线(已签腾讯sp)] ( https://www.nowcoder.com/discuss/164781 )
136
+ - [x] ♥ [ 【NLP/AI算法面试必备-1】学习NLP/AI,必须深入理解“神经网络及其优化问题”] ( https://zhuanlan.zhihu.com/p/56633392 )
137
137
- [x] ♥♥ [ 【NLP/AI算法面试必备-2】NLP/AI面试全记录(持续更新)] ( https://zhuanlan.zhihu.com/p/57153934 )
138
138
- [x] [ 腾讯应用研究-机器学习 一、二面面经] ( https://www.nowcoder.com/discuss/164635 )
139
139
- [x] [ 腾讯计算机视觉方向暑期实习一面面筋] ( https://www.nowcoder.com/discuss/161590 )
You can’t perform that action at this time.
0 commit comments