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autoencoder

[Pytorch] Autoencoder Base code
Data/Data Science 2020. 11. 29. [Pytorch] Autoencoder Base code import torch import torchvision import torch.nn.functional as F from torch import nn, optim from torchvision import transforms, datasets class Autoencoder(nn.Module): def __init__(self): super(Autoencoder, self).__init__() self.encoder = nn.Sequential( nn.Linear(28*28, 128), nn.ReLU(), nn.Linear(128, 64), nn.ReLU(), nn.Linear(64, 12), nn.ReLU(), nn.Linear(12, 3), ) self.decoder = nn.Sequential( ..
[딥러닝] LSTM & Anomaly Detection
Data/Data Science 2020. 4. 29. [딥러닝] LSTM & Anomaly Detection https://jaehyeongan.github.io/2020/02/29/LSTM-Autoencoder-for-Anomaly-Detection/ LSTM Autoencoder for Anomaly Detection · jaehyeong's ds jaehyeongan.github.io https://machinelearningmastery.com/lstm-autoencoders/ A Gentle Introduction to LSTM Autoencoders An LSTM Autoencoder is an implementation of an autoencoder for sequence data using an Encoder-Decoder LSTM architecture. Once fit, the encoder..

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