自我學習紀錄
機器學習
實作
- Keras DDos Detection
- k-means
- DBSCAN
- Activation 介紹與實作
- Tensorflow function 操作
- keras 神經網路建立
- 全連接層觀察
- 梯度
- 損失函數
- keras DNN實作- mnist 為例
- keras CNN實作- cifar10 為例
- 自訂義 Layer
Kubernetes
自我學習 GCP 和機器學習與 Kubernetes 應用
Machine Learning APIs
- Introduction to APIs in Google
- Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
- Classify Text into Categories with the Natural Language API
- Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
- Entity and Sentiment Analysis with the Natural Language API
- Awwvision: Cloud Vision API from a Kubernetes Cluster
Baseline Data, ML, AI
Kubernetes in Google Cloud
- Introduction to Docker
- Kubernetes Engine
- Orchestrating the Cloud with Kubernetes
- Managing Deployments Using Kubernetes Engine
- Continuous Delivery with Jenkins in Kubernetes Engine
Kubernetes Solutions
- Using Kubernetes Engine to Deploy Apps with Regional Persistent Disks
- NGINX Ingress Controller on Google Kubernetes Engine
- Distributed Load Testing Using Kubernetes
- Running a MongoDB Database in Kubernetes with StatefulSets
Coding
Spring boot
- CRUD
- 員工管理系統
- spring-boot 容器以及其它運用
- 使用 Dockerfile 製作容器
- 導入 jaeger 進行 API traceing
JAVA
Database
Shell
Golang
運維與網路
- ELK
- wireshark 軟體使用
- Namespace 模擬 Docker
- Ansible
- Jenkins
- firewall
- Vagrant
- logging-efk
- monitor
- terraform
- tracing - jaeger