[Day 19] TensorFlow Developer Certificate Part 2 - Convolutional Neural Networks in TensorFlow

 안녕하세요!
오늘은 Day 19입니다!


오늘 TensorFlow developer certificate course에서 Part 2 - CNN에 대해 공부했다




오늘은 ImageGenerator 좀 더 깊게 사용했다

rescale=1./255 - 사진 규정화
rotation_range=40 - rotates images 40 degrees
width_shift_range=0.2 - shifts images horizontally - image width
height_shift_range=0.2 - shifts images vertically within the range - image height
shear_range=0.2 - applies shear transformation
zoom_range=0.2 - zooms into images, up to a 20% zoom
horizontal_flip=True - flips images horizontally
fill_mode='nearest' Determines the strategy for filling in newly created (or missing) pixels after transformations; 'nearest' fills with the nearest existing pixel value

위에 같은 경우, 과적합이라고 Dropout(x) 레이터로 아래 사진처럼 고칠 수 있다

CNN 모델 만들어 본 적이 있어서 새로운 것을 많이 없었다. 내일 부분은 Natural Language Processing이라 NLP에 대해 완전히 몰라서 재미있겠다.


오늘은 여기까지입니다!

내일 뵐게요!

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