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deep-learning-cnn-course's Introduction

📌 Intro

  • 본 repository는 deep learning CNN 강의 실습 내용을 개인 복습용으로 정리했습니다.
  • 모든 코드는 실습 내용을 바탕으로 직접 작성했으며, 학습 진도에 맞춘 세부 contents는 아래와 같습니다.

📌 Contents

► [01_dl_cnn_basic]

  • 01_dl_keras_framework_220625
  • 02_dl_keras_framework_220626
  • 03_dl_cnn_basic_220627
  • 04_dl_cnn_basic_220627
  • 05_dl_cnn_basic_220628
  • 06_dl_cnn_basic_220629

► [02_dl_cnn_intermediate]

  • 01_dl_keras_framework_sequecial_api_v1_220629
  • 02_dl_keras_framework_functional_api_v2_220701
  • 03_dl_cnn_baseline_model_v3_220704
  • 04_dl_cnn_batch_normalization_v4_220704
  • 05_dl_cnn_batch_size_v5_220705
  • 06_dl_cnn_callback_v6_220705
  • 07_dl_cnn_global_average_pooling_v7_220706
  • 08_dl_cnn_data_augmentation_v8_220707
  • 09_dl_cnn_transfer_learning_vgg16_v9_220707
  • 10_dl_cnn_transfer_learning_xception_v10_220708
  • 11_dl_cnn_intermediate_comprehensive_practice_220715

📌 Reference

  • [Inflearn] 딥러닝 CNN 완벽 가이드 강의
  • [Coding Apple] Tensorflow 딥러닝 AI 기초부터 실무까지 강의
  • https://www.tensorflow.org/

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