Convolutional LSTM for Next Frame Prediction

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The book delves into the innovative architecture of Convolutional LSTM (ConvLSTM), which merges the strengths of Long Short-Term Memory networks and Convolutional Neural Networks to effectively process video data. It focuses on the next frame prediction task, aiming to forecast future frames in video sequences. The author introduces and explores novel training methods for enhancing the performance of state-of-the-art ConvLSTM networks, providing insights into advancing video analysis and prediction techniques.