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πŸ“—Keras_TF_Deep_Learning

πŸ‘‰ λͺ¨λ‘μ˜ λ”₯λŸ¬λ‹ (2판, μ‘°νƒœν˜Έ)

μ„œμ  이미지

  • λ”₯λŸ¬λ‹ κΈ°λ³Έ ꡬ성 원리에 λŒ€ν•΄ 비ꡐ적 μ‰½κ²Œ ν’€μ–΄μ“΄ 편이라 μž…λ¬Έ 단계 μ‹œμ ˆλΆ€ν„° 자주 μ• λ…ν•˜μ˜€μŒ.
  • λ‹€μ–‘ν•œ μ‹€μ œ 데이터 μ˜ˆμ œμ™€ ν•¨κ»˜ μ—¬λŸ¬ λ”₯λŸ¬λ‹ λͺ¨λΈ(DNN, CNN, RNN, LSTM, GAN, AutoEncoder λ“±)을 λ‹€λ£Έ.
  • ν…μ„œν”Œλ‘œ μœ„μ—μ„œ μΌ€λΌμŠ€κ°€ μ–΄λ–€ μ‹μœΌλ‘œ λ™μž‘ν•˜λŠ”μ§€ μ•Œμ•„λ³΄λŠ” μš©λ„λ‘œ μ’‹μŒ.
  • Tensorflow μ—…λ°μ΄νŠΈ 문제 λ•Œλ¬Έμ— 개인적으둜 μ½”λ“œ μˆ˜μ •ν•˜λŠ” 단계λ₯Ό 거쳀음.

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