Essays about: "DeepConvLSTM"
Found 2 essays containing the word DeepConvLSTM.
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1. Study of Semi-supervised Deep Learning Methods on Human Activity Recognition Tasks
University essay from KTH/Robotik, perception och lärande, RPLAbstract : This project focuses on semi-supervised human activity recognition (HAR) tasks, in which the inputs are partly labeled time series data acquired from sensors such as accelerometer data, and the outputs are predefined human activities. Most state-of-the-art existing work in HAR area is supervised now, which relies on fully labeled datasets. READ MORE
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2. DeepConvLSTM on single accelerometer locomotion recognition
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This project aims to evaluate the deep neural network architecture Deep-ConvLSTM to classify locomotive human activities using data from a single accelerometer. The evaluation involves comparisons to a simpler convolutional neural network and a hyperparameter evaluation in regards to the networks number of convolutional layers. READ MORE
