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Hi Charles,
I have some confusion about T-Net:
1.How can the T-Net update its weights in the network.You know,error BackPropagation algorithm need error to update the weights,but I can't find any er…
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Read and understand [CNNs](http://www.deeplearningbook.org/contents/convnets.html).
Questions & Problems:
ghost updated
5 years ago
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Currently, models are trained per-timestep, i.e. one batch instance is one timestep. Hence explicitly they learn to optimize the output per-timestep, but not the conditional dependence of timesteps wi…
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in `proposal_layer.py` 's `forward()` function, when i print out `bbox_deltas.min()` and `bbox_deltas.max()`, at some point it suddenly become large and cause overflow and core dump, here is the log:
…
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Follow this tutorial to do backpropagation for real learning.
https://towardsdatascience.com/how-does-back-propagation-in-artificial-neural-networks-work-c7cad873ea7
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The XOR test from before while it still was technically valid, the starting position for the neural networks was not a normal distribution. This puts Backpropagation at a disadvantage making it harder…
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Are there any plans to implement something like distributed SGD for pytorch?
The bottleneck for most state space environments in my experience is the speed of backpropagation in the learner not the…
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after fiddling with it https://github.com/itdxer/neupy/issues/236#issuecomment-476601598 ,
I can't get the value of the weight and bias in the library. Here's my code:
```python
from numpy impo…
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Hi,
First, I should say that I have very little experience with neural networks, and minimisation algorithms. I implemented a fully connected perceptron last year, but that's as far as my experience g…
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The current implementation of the backpropagation algorithm for MultiLayerNetwork (https://github.com/deeplearning4j/deeplearning4j/blob/master/deeplearning4j-core/src/main/java/org/deeplearning4j/nn/…