Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
In this tutorial we will extend fairseq by adding a new :class:`~fairseq.models.FairseqEncoderDecoderModel` that encodes a source sentence with an LSTM and then passes the final hidden state to a ...
In this tutorial we will extend fairseq by adding a new :class:`~fairseq.models.FairseqModel` that encodes a source sentence with an LSTM and then passes the final hidden state to a second LSTM that ...
Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...