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Presentation Assistant Go to [Q&A Session]
Paper Number
Paper Title
Keyword
ICACT20240009 Slide.00        [Big Slide] Chrome Click!!
I am Francis Lau, the presenter of this paper
ICACT20240009 Slide.01        [Big Slide] Chrome Click!!
These are the contents of the presentation
ICACT20240009 Slide.02        [Big Slide] Chrome Click!!
Deep learning has been applied in our daily lives. Examples are object classification, object detection and language translation
ICACT20240009 Slide.03        [Big Slide] Chrome Click!!
The goal of deep learning is to learn from data
ICACT20240009 Slide.04        [Big Slide] Chrome Click!!
Characteristics of deep learning model include the following
ICACT20240009 Slide.05        [Big Slide] Chrome Click!!
The communication model is similar
ICACT20240009 Slide.06        [Big Slide] Chrome Click!!
Recurrent neural network (RNN) takes the previous output and hidden states as inputs so that the composite input at time 𝑡 has some historical information about what happens at time T<𝑡
ICACT20240009 Slide.07        [Big Slide] Chrome Click!!
Convolutional code
ICACT20240009 Slide.08        [Big Slide] Chrome Click!!
Decoding convolutional code via bi-directional RNN network
ICACT20240009 Slide.09        [Big Slide] Chrome Click!!
Convolutional Hadamard code
ICACT20240009 Slide.10        [Big Slide] Chrome Click!!
Turbo Hadamard code
ICACT20240009 Slide.11        [Big Slide] Chrome Click!!
Conventional CHC and THC decoders
ICACT20240009 Slide.12        [Big Slide] Chrome Click!!
CHC decoder based on bi-directional LSTM
ICACT20240009 Slide.13        [Big Slide] Chrome Click!!
End-to-end THC decoder based on bi-directional LSTM
ICACT20240009 Slide.14        [Big Slide] Chrome Click!!
Training LSTM-CHC decoder
ICACT20240009 Slide.15        [Big Slide] Chrome Click!!
Training evolution
ICACT20240009 Slide.16        [Big Slide] Chrome Click!!
Performance of proposed LSTM-CHC decoder
ICACT20240009 Slide.17        [Big Slide] Chrome Click!!
Training LSTM-THC decoder
ICACT20240009 Slide.18        [Big Slide] Chrome Click!!
Performance of proposed LSTM-THC decoder
ICACT20240009 Slide.19        [Big Slide] Chrome Click!!
Future works
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Q&A