CNN参考书籍
https://icer-zsj.blog.csdn.net/article/details/148868463深度学习的人工神经元https://icer-zsj.blog.csdn.net/article/details/148895106神经网络的架构https://icer-zsj.blog.csdn.net/article/details/148898627深度学习之分类手写数字的网络https://icer-zsj.blog.csdn.net/article/details/148899269梯度下降算法学习图像https://icer-zsj.blog.csdn.net/article/details/148900140数字识别神经网络的实现-CSDN博客https://icer-zsj.blog.csdn.net/article/details/148922680深度学习的引出https://icer-zsj.blog.csdn.net/article/details/148926026交叉熵代价函数https://icer-zsj.blog.csdn.net/article/details/148928283神经⽹络可以计算任何函数的可视化证明https://icer-zsj.blog.csdn.net/article/details/149019604深度学习中的一些名词https://icer-zsj.blog.csdn.net/article/details/149065626反向传播算法简介https://icer-zsj.blog.csdn.net/article/details/148927080柔性最大值解决学习缓慢问题https://icer-zsj.blog.csdn.net/article/details/148948971神经网络中的过度拟合问题https://icer-zsj.blog.csdn.net/article/details/148949602神经网络简介https://icer-zsj.blog.csdn.net/article/details/149223836神经网络中的规范化https://icer-zsj.blog.csdn.net/article/details/148952192深度神经⽹络为何很难训练https://icer-zsj.blog.csdn.net/article/details/149040226深度学习之卷积神经网络https://icer-zsj.blog.csdn.net/article/details/149042166其他的深度学习模型https://icer-zsj.blog.csdn.net/article/details/149045826
神经网络中的反向传播https://icer-zsj.blog.csdn.net/article/details/149217295