2020/04/16 Foot step

About Machine Learning

Learned about ML model data, Gradient Descent, overfitting(underfitting), Softmax Regression, lossfunction(MSE, cross-entropy)

-ML model data는 trainingData가 대부분이고 나머지 일부를 Test data가 차지 and a validation set은 test에 포함.

-Gradient Descent는 세가지 정도로 분류할 수 있는데 Mini-batch-Gradient Descent를 가장 많이 사용.

-Overfitting은 trainingData는 잘 작동되지만 testData가 작동이 잘 안될때, Underfitting은 trainingData가 잘 동작하지않을때

-Softmax Regression는 분류할때 사용하는 회귀. 출력값의 합을 항상 1을 만들어주는 기법

-LossFunction은 MSE보다 Cross-entropy를 주로 사용.

---

About something new

---

To-do list

• [x] Get up at 7
• [x] Organize the blanket
• [x] Put the flower on the windowsill
• [x] Get the supplements and the chocolate, make some water.
• [x] Drink coffee, Do the diary about sleeping and thoughts
• [x] Stretch your body for 20 min
• [x] Stretch Ulnar nerve with 원동력 exercise
• [x] Read AI news And the news
• [x] Do machine learning
• [x] One day One commit
• [x] Do Eng words
• [x] Go for cardio
  • [x] Have time to think about something new
• [x] walnut and almonds
• [x] Do Intermittent fasting at 7
• [x] Read books
• [x] Do out-put
• [x] Put the flower back from the windowsill
• [x] Do blogging