自己动手神经网络深度学习（AI第二册）
https://cdn.ldstatic.com/images/emoji/twemoji/file_folder.png?v=15 自己动手神经网络深度学习（AI第二册）https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 13 数据集介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 3 均方误差编程实现.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 6 导数的计算.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 4 交叉熵误差及编程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 18 创建两层神经网络的类.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 9 梯度的编程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 2 损失函数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 17 数据的处理.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 12 运用到简单的神经网络.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 11 梯度算法优化.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 22 自制数据集初步.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 10 梯度下降法编程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 15 数据的转换.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 21 神经网络的深度学习实践.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 7 偏导数.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 AI0.rar
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 5 导数的概念与编程.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 1 课程介绍.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 8 从导数到梯度.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 19 预测值 损失函数 梯度.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 14 从互联网获取数据集.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 20 神经网络类的小结.mp4
https://cdn.ldstatic.com/images/emoji/twemoji/page_facing_up.png?v=15 16 数据的保存和加载.mp4
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