本文的出发点是最近的像 CMT[1],LIT[2]等 CNN 和 Transformer 混合架构的模型都遵循 MetaFormer[3] 的架构,它由带有 skip-connection 的 token mixer 和带有 skip-connection 的前馈网络 (Feed Forward Network) 组成。由于增加了内存访问成本 (memoryaccess cost),这些跳过连接在延迟方面占了很大的开销。为了解...
In this paper, a new type of feedforward non-parametric deep learning network with automatic feature extraction is proposed. The proposed network is based on human-understandable local aggregations extracted directly from the images. There is no need for any feature selection and parameter tuning. ...
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本文的出发点是最近的像 CMT[1],LIT[2]等CNN 和 Transformer 混合架构的模型都遵循 MetaFormer[3] 的架构,它由带有 skip-connection 的 token mixer 和带有 skip-connection 的前馈网络 (Feed Forward Network) 组成。由于增加了内存访问成本 (memory access cost),这些跳过连接在延迟方面占了很大的开销。为了解...
backward_eval: 'Perform evaluation in backward direction. Useful if only forward flow is available as it is the case for the Sintel dataset. evaluation_file: File to write the results in. loss_network: Path to a pretrained network used to compute style and content similarity, e.g. VGG-16...
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In this work, we propose a novel feed-forward network based on Transformer to generate mel-spectrogram in parallel for TTS. Specifically, we extract attention alignments from an encoder-decoder based teacher model for phoneme duration prediction, which is used by a length regulator to expand the...
With the purchase of the Online or Smart Bundle, full access is granted to the Fast Forward community in a seamless manner baked right into the rest of the course material. This is a highly intuitive and effective way of connecting to other students and receiving feedback on nagging questions...
Fast Feedforward Networks 28 Aug 2023 · Peter Belcak, Roger Wattenhofer · Edit social preview We break the linear link between the layer size and its inference cost by introducing the fast feedforward (FFF) architecture, a log-time alternative to feedforward networks. We demonstrate that FFFs...
Fast Construction of Single-Hidden-Layer Feedforward Networks In this chapter, two major issues are addressed: (i) how to obtain a more compact network architecture and (ii) how to reduce the overall computational complexity. An integrated analytic framework is introduced for the fast construction ...