A thorough introduction to cutting-edge research in deep learning applied to NLP, which covers word vector representations, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks, convolutional neural networks as well as some recent models involving a memory component.
Notes CS224n - NLP with Deep Learning
扫一扫，更多精彩等你哦(^_−)☆
帮我买杯奶茶，鼓励我继续创作吧ヾ(◍°∇°◍)ﾉﾞ
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