multi-head self-attention + mean pooling. - A shared trunk combines all set representations with scalar features. - Each screen type has a head that produces context for action scoring.
root_inp = onnx.helper.make_tensor_value_info("root", onnx.TensorProto.FLOAT, shape) output = onnx.helper.make_tensor_value_info("output", onnx.TensorProto.FLOAT ...
ABSTRACT: This project aimed to assess the performance of attention extended LSTM and Gated Recurrent Unit models in stock price movement forecasting. The traditional models suffer from the challenges ...
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