neural networks - Explanation of Spikes in training loss vs.
I am training a neural network using i) SGD and ii) Adam Optimizer. When using normal SGD, I get a smooth training loss vs. iteration curve as seen below (the red one). However, when I …
Extremely large spike in training loss that destroys training progress
2020年11月29日 — I am training a super-resolution neural network that takes a low-resolution image and predicts its high-resolution counterpart. However, once in a while (e.g. a few …
recurrent neural network - Why does the loss/accuracy fluctuate …
2018年5月14日 — There are several reasons that can cause fluctuations in training loss over epochs. The main one though is the fact that almost all neural nets are trained with different …
Training loss increases with time [duplicate] - Cross Validated
2018年1月25日 — I am training a model (Recurrent Neural Network) to classify 4 types of sequences. As I run my training I see the training loss going down until the point where I …
deep learning - What could cause my neural network model's loss ...
2016年3月1日 — Based on my experience, just saying what i have seen, a few things could cause this: 1. learning rate. if it's too large, it could cause rising loss; just make it smaller, magnitudes …
Why is the validation accuracy fluctuating? - Cross Validated
2017年1月8日 — In such case, though your network is stepping into convergence, you might see lots of fluctuations in validation loss after each train-step. But if you wait for a bigger picture, …
Weird spikes in Loss function - Cross Validated
2021年1月22日 — You’re training a neural network, so your loss function exists in dozens, hundreds, or billions of dimensions. $\endgroup$ – Dave Commented Jan 22, 2021 at 1:09
Training loss goes down and up again. What is happening?
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How do I make my neural network better at predicting sine waves?
2017年10月10日 — A neural network never learns a function analytically, only approximately via statistics - this is true for nearly all supervised learning ML techniques. The more advanced …
python - What is batch size in neural network? - Cross Validated
2015年5月22日 — In our example, we've used 1050 which is not divisible by 100 without remainder. The simplest solution is just to get the final 50 samples and train the network. …