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1ºÎ. Deep Learning Framework ±âÃÊ
1Àå. Numpy, Tensorflow, Pytorch·Î ½ÃÀÛÇϱâ
- 1.1 Numpy Array
- 1.2 Tensorflow ±âÃÊ
- 1.3 Pytorch ±âÃÊ
- 1.4 Pandas
- 1.5 Google Colaboratory¿¡¼ ½Ç½À ȯ°æ ±¸Ãà
2ºÎ. ȸ±ÍºÐ¼®°ú µö·¯´×
2Àå. ȸ±ÍºÐ¼®
- 2.1 ¸Ó½Å·¯´×°ú ȸ±ÍºÐ¼®
- 2.2 ȸ±ÍºÐ¼® ¸ðµ¨ÀÇ Çà·Ä Ç¥Çö
- 2.3 ¹ÌºÐ°ú ¿ªÀüÆÄ
- 2.4 ¼±Çüȸ±Í ¸ðµ¨ ±¸Çö
3Àå. Deep Learning
- 3.1 ¹®Á¦ ÇØ°á°ú °¡»ó µ¥ÀÌÅÍ
- 3.2 Feature Engineering ±â¹ý
- 3.3 µö·¯´×À¸·Î ÇØ°áÇϱâ
- 3.4 2-Layer ¸ðµ¨ÀÇ ¿ªÀüÆÄ
- 3.5 ¿¬¼â ¹ýÄ¢, Çà·Ä°ö ¿ªÀüÆÄ ¿¹½Ã
- 3.6 Layer Weight ÃʱâÈ
- 3.7 Overfitting ¹æÁö ±â¹ýµé
- 3.8 Activation Function
3ºÎ. Framework È°¿ë°ú ¸ðµ¨ ±¸Çö
4Àå. ¸ðµ¨ & µ¥ÀÌÅÍ
- 4.1 µ¥ÀÌÅÍ ºÒ·¯¿À±â
- 4.2 MNIST ºÐ·ù ¸ðµ¨
- 4.3 »ç¿ëÀÚ Á¤ÀÇ ¸ðµ¨(User Defined Model)
- 4.4 µ¥ÀÌÅÍ ºÒ·¯¿À±â ½ÉÈ - Tensorflow
- 4.5 µ¥ÀÌÅÍ ºÒ·¯¿À±â ½ÉÈ - Pytorch
- 4.6 ¸ðµ¨ ÀúÀåÇϱâ - 212
- 4.7 Learning Rate Scheduler
5Àå. Tensorflow Custom Training
- 5.1 »ç¿ëÀÚ Á¤ÀÇ Callback Class
- 5.2 Custom Metric Function
- 5.3 train_step/test_step ÀçÁ¤ÀÇ
- 5.4 Scratch Training: for loop·Î ¹Ø¹Ù´ÚºÎÅÍ training
- 5.5 »ç¿ëÀÚ Á¤ÀÇ Loss Function & tf.function decorator
6Àå. CNN
- 6.1 Sobel Operator
- 6.2 Convolution
- 6.3 Transposed Convolution
- 6.4 Generative Adversarial Networks
7Àå. Image Model
- 7.1 MNIST À̹ÌÁö ºÐ·ù
- 7.2 Image Data Augmentation
- 7.3 CNN À̹ÌÁö ¸ðµ¨
- 7.4 Pre-trained Image Model
- 7.5 Image Transfer Learning
8Àå. RNN & NLP
- 8.1 ´Ü¾î Embedding
- 8.2 RNN
- 8.3 RNN API
- 8.4 Sentiment Analysis
- 8.5 Seq2Seq Model
- 8.6 ³¯Â¥ Çü½Ä º¯È¯ ¸ðµ¨ - Tensorflow
- 8.7 ³¯Â¥ Çü½Ä º¯È¯ ¸ðµ¨ - Pytorch
- 8.8 Transformer - 496
- 8.9 Transformer Tensorflow ±¸Çö
- 8.10 Transformer Pytorch ±¸Çö
- 8.11 Hugging Face Transformers - BERT
- 8.12 Hugging Face Transformers - ELECTRA
9Àå. Audio
- 9.1 Audio Data ´Ù·ç±â
- 9.2 Audio Feature & Librosa API
- 9.3 À½¾Ç À帣 ºÐ·ù
- 9.4 Torchaudio
- 9.5 Speech Command ºÐ·ù
- 9.6 Tensorflow Audio ó¸®
- 9.7 Speaker Recognition
ºÎ·Ï
- A.1 ´Ü¼ø ȸ±Í ¸ðÇü
- A.2 Çà·Ä ¹ÌºÐ
- A.3 Gradient Vanishing & Exploding
- A.4 Áö¼ö°¡Áß À̵¿Æò±Õ(Exponentially Weighted Moving Average)
- A.5 Optimizer
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