๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ
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๐Ÿค–๋จธ์‹ ๋Ÿฌ๋‹/ํ…์„œํ”Œ๋กœ์šฐ2

ํ…์„œํ”Œ๋กœ์šฐ - ๊ฐ„๋‹จํ•œ ๊ธฐ๊ณ„ํ•™์Šต ์‹œํ‚ค๊ธฐ https://teachablemachine.withgoogle.com/ Teachable Machine Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required. teachablemachine.withgoogle.com ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ข…๋ฅ˜์˜ ํ”„๋กœ์ ํŠธ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Œ [์ด๋ฏธ์ง€ ํ”„๋กœ์ ํŠธ ๋กœ์ปฌ์—์„œ ์‹คํ–‰์‹œํ‚ค๊ธฐ] import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import tensorflow as tf from .. 2022. 5. 19.
ํ…์„œํ”Œ๋กœ์šฐ - ๊ฝƒ ์ด๋ฏธ์ง€ ๋งž์ถ”๊ธฐ from shutil import ExecError import matplotlib.pyplot as plt import numpy as np import os import PIL import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras.models import Sequential # ๋ฐ์ดํ„ฐ์„ธํŠธ ๋‹ค์šด๋กœ๋“œ ๋ฐ ํƒ์ƒ‰ํ•˜๊ธฐ import pathlib dataset_url = "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz" data_dir = tf.keras.ut.. 2022. 4. 29.
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