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任务301: 为什么需要递归神经网络?.mp4
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2022-09-03 10:12:27 |
28.1 MB |
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任务302: 递归神经网络介绍.mp4
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2022-09-03 10:12:27 |
140.55 MB |
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任务303: 语言模型.mp4
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2022-09-03 10:12:27 |
102.77 MB |
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任务304: RNN的深度.mp4
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2022-09-03 10:12:27 |
19.72 MB |
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任务305: 梯度爆炸和梯度消失.mp4
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2022-09-03 10:12:27 |
141.54 MB |
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任务306: Gradient Clipping.mp4
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2022-09-03 10:12:27 |
38.89 MB |
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任务307: LSTM的介绍.mp4
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2022-09-03 10:12:27 |
89.6 MB |
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任务308: LSTM的应用.mp4
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2022-09-03 10:12:27 |
56.57 MB |
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任务309: Bi-Directional LSTM.mp4
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2022-09-03 10:12:27 |
48.06 MB |
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任务310: Gated Recurrent Unit.mp4
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2022-09-03 10:12:27 |
52.16 MB |
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任务311: 问答系统讲解01.mp4
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2022-09-03 10:12:27 |
73.89 MB |
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任务312: 问答系统讲解02.mp4
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2022-09-03 10:12:27 |
203.11 MB |
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任务313: Representation Learning.mp4
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2022-09-03 10:12:27 |
33.37 MB |
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任务314: What makes good representation-01.mp4
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2022-09-03 10:12:27 |
130.55 MB |
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任务315: What makes good representation-02.mp4
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2022-09-03 10:12:27 |
255.79 MB |
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任务316: What makes good representation-03.mp4
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2022-09-03 10:12:27 |
263.23 MB |
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任务317: Why Deep.mp4
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2022-09-03 10:12:27 |
39.68 MB |
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任务318: Why Deep Learning Hard to Train.mp4
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2022-09-03 10:12:27 |
63.5 MB |
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任务319: Ways to Solve Training.mp4
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2022-09-03 10:12:27 |
79.44 MB |
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任务320: Dropout 介绍.mp4
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2022-09-03 10:12:27 |
85.91 MB |
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任务321: 为什么Dropout防止过拟合现象.mp4
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2022-09-03 10:12:27 |
47.79 MB |
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任务322: 机器翻译.mp4
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2022-09-03 10:12:27 |
40.33 MB |
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任务323: Multimodal Learning.mp4
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2022-09-03 10:12:27 |
66.89 MB |
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任务324: Seq2Seq模型.mp4
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2022-09-03 10:12:27 |
131.29 MB |
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任务325: Seq2Seq训练介绍.mp4
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2022-09-03 10:12:27 |
18.32 MB |
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任务326: Inference Decoding.mp4
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2022-09-03 10:12:27 |
137.55 MB |
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任务327: Exhaustic Search.mp4
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2022-09-03 10:12:27 |
38.41 MB |
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任务328: Beam Search.mp4
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2022-09-03 10:12:27 |
189.39 MB |
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任务329: 回顾Multimodal Learning.mp4
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2022-09-03 10:12:27 |
26.26 MB |
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任务330: Attention注意力机制介绍.mp4
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2022-09-03 10:12:27 |
23.63 MB |
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任务331: 看图说话介绍.mp4
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2022-09-03 10:12:27 |
111.01 MB |
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任务332: 图像识别的注意力机制.mp4
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2022-09-03 10:12:27 |
114.05 MB |
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任务333: 基于GAN及强化学习的文本生成-01.mp4
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2022-09-03 10:12:27 |
63.23 MB |
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任务334: 基于GAN及强化学习的文本生成-02.mp4
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2022-09-03 10:12:27 |
111.17 MB |
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任务335: 回顾Seq2Seq模型.mp4
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2022-09-03 10:12:27 |
240.73 MB |
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任务336: Seq2Seq的Attention.mp4
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2022-09-03 10:12:27 |
83.85 MB |
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任务337: Self-Attention1.mp4
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2022-09-03 10:12:27 |
72.74 MB |
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任务338: Self-Attention2.mp4
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2022-09-03 10:12:27 |
239.98 MB |
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任务339: 深度文本匹配-01.mp4
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2022-09-03 10:12:27 |
43.16 MB |
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任务340: 深度文本匹配-02.mp4
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2022-09-03 10:12:27 |
26.71 MB |
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任务341: 回顾Attention.mp4
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2022-09-03 10:12:27 |
102.05 MB |
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任务342: RNN LSTM-based models.mp4
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2022-09-03 10:12:27 |
22.65 MB |
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任务343: Transformer的结构.mp4
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2022-09-03 10:12:27 |
156.12 MB |
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任务344: Each Encoder Block.mp4
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2022-09-03 10:12:27 |
14.11 MB |
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任务345: Self-Attention.mp4
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2022-09-03 10:12:27 |
110.84 MB |
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任务346: Add Normalize.mp4
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2022-09-03 10:12:27 |
210.39 MB |
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任务347: BERT概念.mp4
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2022-09-03 10:12:27 |
44.97 MB |
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任务348: 回顾Language model.mp4
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2022-09-03 10:12:27 |
116.87 MB |
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任务349: masked Language model.mp4
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2022-09-03 10:12:27 |
44.64 MB |
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任务350: masked Language model存在的问题.mp4
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2022-09-03 10:12:27 |
126.06 MB |
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点击获取更多资源.html
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367 B |
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资料说明.txt
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2022-09-03 10:12:27 |
24.37 KB |
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