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- Note: I am not an expert on backprop, but now having read a bit, I think the following caveat is appropriate. When reading papers or books on neural nets, it is not uncommon for derivatives to be written using a mix of the standard summation/index notation, matrix notation, and multi-index notation (include a hybrid of the last two for tensor-tensor derivatives).
- Jul 01, 2017 · You can find a handful of research papers that discuss the argument by doing an Internet search for "pairing softmax activation and cross entropy." Basically, the idea is that there’s a nice mathematical relation between CE and softmax that doesn't exist between SE and softmax. Overall Demo Program Structure
- 在计算loss的时候，最常见的一句话就是tf.nn.softmax_cross_entropy_with_logits，那么它到底是怎么做的呢？ 首先明确一点，loss是代价值，也就是我们要最小化的值