1、梯度消失(vanishing gradient problem)、梯度爆炸(exploding gradient problem)原因 神经网络最终的目的是希望损失函数loss取得极小值。所以最终的问题就变成了一个寻找函数最小值的问题,在数学上,很自然的就会想到使用梯度下降(求导)来解决。 梯度消失、梯度爆炸其根本原因在于反向传播训练法则(BP算法)
随后再进入对Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients这篇文章的深入分析。 文章链接:https://arxiv.org/abs/1801.03744 1. 过往工作综述 梯度消失和梯度爆炸问题 (exploding and vanishing gradient problem, EVGP) ,最早是由 Sepp Hochreiter 在1991年提出[2],这里就不再进...
This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they ...
第三,训练有效性面临梯度弥散(gradientvanishing)问题。 DSN 图 1 [1] Deeply-supervised Nets 2014 [paper] cs224n lecture7 Vanishing Gradients, Fancy RNNs RNN’s problemvanishinggradient解决方案: LSTM GRU vs residual connections DenseNet HighwayNet Bidirectional RNNs Multi-layer RNNs(stacked RNNs)ex...
This makes it possible to avoid both the vanishing and exploding gradient problem using this orthogonal initialization of weights. This method [9] however is not used in isolation and is often combined with other more advanced architectures like LSTMs to achieve optimal results. ...
Hello Stardust! Today we’ll see mathematical reason behind exploding and vanishing gradient problem but first let’s understand the problem in a nutshell.
Self-loops and gating units LSTM [3] GRU[4] The gates allow information to flow from inputs at any previous time steps to the end of the sequence more easily, partially addressing the vanishing gradient problem. 特殊的网络结构: special neural architectures, such as hierarchical RNNs (El ...
什么是梯度不稳定问题:深度神经网络中的梯度不稳定性,前面层中的梯度或会消失,或会爆炸。 原因:前面层上的梯度是来自于后面层上梯度的乘乘积。当存在过多的层次时,就出现了内在本质上的不稳定场景,如梯度消失和梯度爆炸。 (2)梯度消失(vanishing gradient problem): ...
什么是梯度不稳定问题:深度神经网络中的梯度不稳定性,前面层中的梯度或会消失,或会爆炸。 原因:前面层上的梯度是来自于后面层上梯度的乘乘积。当存在过多的层次时,就出现了内在本质上的不稳定场景,如梯度消失和梯度爆炸。 (2)梯度消失(vanishing gradient problem): ...
Vanishing and Exploding Gradients - Deep Learning Dictionary The vanishing gradient problem is a problem that occurs during neural network training regarding unstable gradients and is a result of the backpropagation algorithm used to calculate the gradients. During training, the gradient descent optimiz...