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• file:068.11-3 键值对注意力和多头注意力.mp4
• file:065.10-9 机器翻译简单代码实现.mp4
• file:064.10-8 束搜索算法.mp4
• file:062.10-6 编码器-解码器网络.mp4
• file:056.9-6 RNN的长期依赖问题.mp4
• file:054.9-4 随时间反向传播算法.mp4
• file:052.9-2 文本数据预处理.mp4
• file:050.8-6 DenseNet.mp4
• file:047.8-3 批量规范化.mp4
• file:044.7-6 卷积神经网络代码实现（LeNet）.mp4
• file:042.7-4 卷积层常见操作.mp4
• file:043.7-5 池化层Pooling.mp4
• file:038.6-12 学习率调节器.mp4
• file:015.4-5 回归问题.mp4
• file:032.6-6 小批量梯度下降法.mp4
• file:009.3-3 Jupyter Notebook快速上手.mp4
• file:025.5-7 梯度消失和梯度爆炸.mp4
• file:020.5-2 过拟合欠拟合应对策略.mp4
• file:027.6-1 最优化与深度学习.mp4
• file:035.6-9 RMSProp_Adadelta算法.mp4
• folder:进击算法工程师深度学习课程