Neural Networks - 2
继续之前的整理。 这次把多层感知机整理一下，其实多层和一层的原理都一样，都是知道误差以后，重新调整权重的过程。 其实深度学习也就是把hidden这一层不断的变多，十几层甚至几十层，当然他们的计算方法就和我马上要说的不太一样。 假设我现在的神经网络有三层，input、 hidden、 output。 他们之中分别有三个神经元i， j， k。 我首先知道了最后的结果的误差，然后对他进行downstre
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相关文章
- 1. Improving Deep Neural Networks[2]
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