As title states. I made an auto encoder with ELU activation and a sigmoid for the last activation function of the decoder layers. Looking at the gradients, my decoder layers have very small gradients. I thought the earlier layers are supposed to have the small gradients? E.g. the encoder layers since they are the furthest from the output (and backprop...
I have been working with this dataset: https://www.kaggle.com/datasets/parvmodi/automotive-vehicles-engine-health-dataset for quite a while now. I have tried various preprocessing techniques and classification trainers but no matter what I was unable to get over 68% accuracy on the models. I am not sure if I am doing something wrong or the datasets...
Paper: https://arxiv.org/abs/2410.22179 Audio Examples: https://google.github.io/tacotron/publications/very_attentive_tacotron/index.html Reference implementation (GitHub): https://github.com/google/sequence-layers/blob/main/examples/very_attentive_tacotron.py Tweet containing preview video: https://twitter.com/EricBattenberg/status/1852113437176029419...
https://arxiv.org/abs/2410.10630 Greg Schoeninger u/FallMindless3563, Oxen.ai CEO and Master of Plain Speak, has attempted to reproduce the findings in this paper using only model inferencing, datasets, and a fine-tuning API. Call to show results and dive in the paper starts at today at 10:00 AM Pacific, 1:00 PM Eastern. https://www.oxen.ai/community/?utm_source=x&utm_content=y...
I am new to computer vision, I have read a few model architectures like resnet, densenet, and efficientnet. I have trained these networks on a dataset. I am now currently playing with my test set, I am taking the saliency map of the output (d(output)/ d(input)). I am trying to debug the model while generating the saliency. As we know that the above...
To Clarify what I mean (also my background is more statistical but I've a problem with a quite nonlinear relationship) Say I have inputs (predictor variables) for example: [x1,...,x10] which are all inherently numerical (ie no dummies) , and a continuous numerical output y, and say I fit some NN as y ~ x1 +... x10 (we can assume a relatively simple...
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