Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
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Because the dataset uses the same participants as the cNeuromod project, models can potentially be trained on all its visual data. Note that cNeuromod-THINGS uses central fixation, while several other cNeuromod recordings use natural viewing (see criteria).，更多细节参见搜狗输入法
On paper, becoming an electrician right now can look, as Bowman found, like a no-brainer: Earn while you learn, avoid massive student debt, step into strong wages, and work at the center of the AI infrastructure boom.