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I noted that `h, res_input = embed, embed` and `fanin_depth = h.get_shape()[-1] ` is the dimension of convolution output same with the embeddings size ?? why ?

https://github.com/wabyking/TextClassificationBenchmark/blob/b5ac116c74493c28f2af2541f21385df7c73ef93/main.py#L71

the code in Lasagne seems not work for Temporal convolution(conv1dlayer ) , could give some advices ? Thank you

你好,embedding的损失函数(9),只有K个训练样本的意思吗? 如何嵌套进training batch呢?