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The following are 30 code examples of torch.nn.Sequential().You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Detect anomalies in S&P 500 closing prices using LSTM Autoencoder with Keras and TensorFlow 2 in Python ... we'll split the data into subsequences. Here's the little helper function for that: 1 def create_dataset (X, y, time_steps = 1): 2 Xs, ys ... We'll build a DataFrame containing the loss and the anomalies (values above the threshold. <b>LSTM</b> (self. input_dim, self. hidden_dim,.

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