JavaShuo
欄目
標籤
Multilayer in-place learning networks for modeling functional layers in the laminar cortex筆記
時間 2020-12-25
標籤
文章筆記
神經網絡
简体版
原文
原文鏈接
作者提出了MILN: multilayer in-place learning network這個網絡, layer 4 和 layer2/3 是feature layer,其中layer 4 使用的是非監督學習,layer2/3 使用監督學習。(Laminar cortex: 層狀皮層)The weight vector of each neuron is not computed based
>>阅读原文<<
相關文章
1.
Multilayer Neural Networks and the Backpropagation Learning Algorithm
2.
How to Use the Keras Functional API for Deep Learning
3.
《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》筆記
4.
Exploring the teaching of deep learning in neural networks
5.
《Recursive Recurrent Nets with Attention Modeling for OCR in the Wild》 筆記
6.
Deep Learning 101 - Part 2: Multilayer Perceptrons
7.
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors學習筆記
8.
【論文筆記】Graph Matching Networks for Learning the Similarity of Graph Structured Objects
9.
[論文筆記]Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
10.
LSTM Neural Networks for Language Modeling
更多相關文章...
•
Swift for-in 循環
-
Swift 教程
•
ASP.NET Razor - 標記
-
ASP.NET 教程
•
Tomcat學習筆記(史上最全tomcat學習筆記)
•
Java Agent入門實戰(三)-JVM Attach原理與使用
相關標籤/搜索
for...in
for..in
for.....in
networks
cortex
layers
inplace
modeling
functional
learning
MyBatis教程
Redis教程
MySQL教程
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
添加voicebox
2.
Java 8u40通過Ask廣告軟件困擾Mac用戶
3.
數字圖像處理入門[1/2](從幾何變換到圖像形態學分析)
4.
如何調整MathType公式的字體大小
5.
mAP_Roi
6.
GCC編譯器安裝(windows環境)
7.
LightGBM參數及分佈式
8.
安裝lightgbm以及安裝xgboost
9.
開源matpower安裝過程
10.
從60%的BI和數據倉庫項目失敗,看出從業者那些不堪的亂象
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Multilayer Neural Networks and the Backpropagation Learning Algorithm
2.
How to Use the Keras Functional API for Deep Learning
3.
《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》筆記
4.
Exploring the teaching of deep learning in neural networks
5.
《Recursive Recurrent Nets with Attention Modeling for OCR in the Wild》 筆記
6.
Deep Learning 101 - Part 2: Multilayer Perceptrons
7.
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors學習筆記
8.
【論文筆記】Graph Matching Networks for Learning the Similarity of Graph Structured Objects
9.
[論文筆記]Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
10.
LSTM Neural Networks for Language Modeling
>>更多相關文章<<