Tensorflow 기초 목록

1. Tensorflow 세팅 확인(버전확인, GPU확인, GPU 지정, 지정된 GPU 확인)

2. Tensorflow에서 사용하는 데이터 배열 Tensor 사용하기(constant, Variable)

3. Tensorflow Multilayer Perceptron 예시 코드(MLP, MNIST DataSet)
4. Tensorflow Convolution Neural Network 예시 코드(CNN, MNIST DataSet)

5. Transformer Model 개념 및 모델 구조

6. AutoEncoder 개념 및 종류

7. Tensorflow LSTM 예시 코드(LSTM, RNN, ecg.csv)

8. Tensorflow Variational AutoEncoder 개념 및 코드 예시(VAE, MNIST Dataset)

9. Tensorflow Generative Adversarial Network 예시 코드(GAN, MNIST Data Set)

 

10. Tensorflow 최적화 함수 종류(Optimization Function, tf.keras.optimizers)

11. Tensorflow 손실 함수 종류 -작성중-

12. tf.GradientTape에서 with as 구문을 왜 사용하는가?

13. Tensorflow Max Pooling 개념 및 예시 코드(tensorflow.keras.layers.MaxPool2D)

 

 

[포스팅 대기 큐]

CAM

ResNet

<Representation>

 AutoEncoder

Denoising AE

Sparse AE

Contractive AE

<Generative>

Stochastic AE ??

Variational AE (VAE)

 

참고예정

https://data-newbie.tistory.com/180

https://www.jeremyjordan.me/autoencoders/

https://deepai.org/machine-learning-glossary-and-terms/contractive-autoencoder

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