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[第一季完结] 第十九课:应用seq2seq和注意力机制:机器翻译.mp4
209.85MB
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第一课:从上手到多类分类.mp4
361.67MB
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第七课:物体检测.mp4
158.47MB
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第三课:深度卷积网络,如何使用Gluon,以及核武器购买指南.mp4
679.06MB
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第九课:物体检测3.mp4
180.92MB
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第五课:Gluon高级和优化算法基础.mp4
215.5MB
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第八课:物体检测2.mp4
120.28MB
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第六课:优化算法高级和计算机视觉.mp4
236.98MB
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第十一课:样式迁移.mp4
192.28MB
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第十七课:GloVe、fastText和使用预训练的词向量.mp4
155.24MB
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第十三课 正向传播、反向传播和通过时间反向传播.mp4
121.04MB
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第十二课:循环神经网络.mp4
149.47MB
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第十五课:门控循环单元(GRU)、长短期记忆(LSTM)、多层循环神经网络以及Gluon实现.mp4
148.99MB
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第十八课:seq2seq(编码器和解码器)和注意力机制.mp4
113.39MB
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第十六课:词向量(word2vec).mp4
142.63MB
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第十四课:实现、训练和应用循环神经网络.mp4
157.33MB
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第十课:语义分割.mp4
163.11MB
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第四课:BatchNorm,更深的卷积神经网络,图片增强和新的Kaggle练习.mp4
624.91MB
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