[Machine Learning] Backpropagation Algorithm
learning ALGORITHM MACHINE
2023-09-14 08:59:13 时间
"Backpropagation" is neural-network terminology for minimizing our cost function, just like what we were doing with gradient descent in logistic and linear regression. Our goal is to compute:
相关文章
- Learning How to Learn学习笔记(转)
- [Algorithm] Median Maintenance algorithm implementation using TypeScript / JavaScript
- [Algorithm] Maximum Contiguous Subarray algorithm implementation using TypeScript / JavaScript
- Deep Learning系统实训之二:梯度下降原理
- ML:MLOps系列讲解之《基于ML的软件的三个层次之02 Model: Machine Learning Pipelines——2.5 Different forms of ML workfl》解读
- 论文解读(DeepCluster)《Deep Clustering for Unsupervised Learning of Visual Features》
- 论文解读(USIB)《Towards Explanation for Unsupervised Graph-Level Representation Learning》
- 论文解读(GraphCL)《Graph Contrastive Learning with Augmentations》
- 贪心算法(Greedy Algorithm)之最小生成树 克鲁斯卡尔算法(Kruskal's algorithm)
- Anomaly Detection for Time Series Data with Deep Learning——本质分类正常和异常的行为,对于检测异常行为,采用预测正常行为方式来做