Learning experience (AE→VAE→CVAE)
【用Python和Keras实现压缩去噪利器—-自编码器（AutoEncoder）】 https://www.bilibili.com/video/BV1Ht411A7q2
【AE→VAE（李宏毅课程）】 https://www.bilibili.com/video/BV1Gx411E7Ha?p=33
【自动编码器Autoencoders】 https://www.bilibili.com/video/BV1GG4y1v7CY
【变分自动编码器VAE】 https://www.bilibili.com/video/BV1KN4y1j7th
https://github.com/nathanhubens/Autoencoders
https://blog.keras.io/building-autoencoders-in-keras.html (https://stackoverflow.com/questions/73132314/how-to-fix-the-error-of-plt-scatterx-test-encoded-0-x-test-encoded-1)
https://github.com/keras-team/keras-io/blob/master/examples/generative/ipynb/vae.ipynb
https://github.com/bojone/vae
https://github.com/wiseodd/generative-models/tree/master/VAE
https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras
https://github.com/SolClover/Art049_NN_VAE/blob/main/python/VAE.ipynb (https://towardsdatascience.com/vae-variational-autoencoders-how-to-employ-neural-networks-to-generate-new-images-bdeb216ed2c0)
https://github.com/nnormandin/Conditional_VAE/blob/master/Conditional_VAE.ipynb
https://github.com/wikibook/keras/blob/master/chapter8-vae/cvae-cnn-mnist-8.2.1.py
https://github.com/devalab/DING/blob/master/CVAE/train_generator.ipynb
https://github.com/IBM/Conditional-Variational-Autoencoder-for-Concrete-Design/blob/master/Conditional_Variational_Autoencoder_for_Concrete%20Design.ipynb