[Day 18] Step 1 to TensorFlow Developer Certificate

 안녕하세요!
오늘은 Day 18입니다!


오늘 coursera에서 TensorFlow developer certificate 준비 위한 첫 부분을 공부했다



재미있는 부분을 요약하자면
mnist의 fashion 데이터셋 사용하여 단순 모델 만들어 봤다
그리고 early_stopping class 구촉했다 (왜 class으로 구축했는지 몰랐는데 이 course의 부분은 오래된 부분인 거 같다)

이전 CNN 모델 만들어 봤는데 제대로 이해하지 못했는데 이제 알겠다
layer.MaxPooling2D(2,2)를 사용하면 이미지 사이즈를 작게 하며 Conv2D(3,3)를 사용하면 레이어는 각 3x3 pixels를 1 pixel로 변경한다. 그렇기 때문에 이미지 shape이 13,13,64에서 11,11,64로 된다

그리고, ImageGenerator 사용해 봤다
오늘 간단하게 사용했는데 앞으로 좀 더 깊게 살펴보겠다고 했다


이 coursera course의 practical lab은 다른 course보다 더 재미있고 어렵게 만들어졌다. 왜냐면 자기 컴퓨터에서 jupyter notebook을 실행하여 모델 만들어야 하기 때문이다. 남아 있는 부분 (course 2,3,4)을 하기 기대한다!



오늘은 여기까지 입니다!

내일 뵐게요!

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