8
votes
Do neural network weights need to add up to one?
No, the weights do not need to add up to one. There isn't really a reason to do that. Weights as "contributions" may not be the best way to think about things here -- you're trying to learn ...
- 644
6
votes
Do neural network weights need to add up to one?
Nothing to do with it! Let me illustrate this concept using one of the simplest models in machine learning: Linear Regression. In linear regression, the goal is to find the coefficients of a ...
- 198
3
votes
Do neural network weights need to add up to one?
No, weights in that case do not constitute a formal probability distribution and do not need to be add up to 1. In fact, if they would — it could cause problems with underflow. Imagine a (nonsensical) ...
- 31
3
votes
Do neural network weights need to add up to one?
do all the weights need to add up to 1.0 (i.e. 100%)?
No.
If not, why?
Why should they?
In the case of school grades, the justification might be that each component (midterm exam, homework etc.) is ...
- 201
2
votes
Accepted
Why Does the Model not Improve in PyTorch?
For whom this post and reply might be useful,
If the model is examined carefully, the ReLU activation function at the end before the output neurons is what causes ...
2
votes
How translation invariance is achieved in CNNs?
Take a vector: $V_1 = [v_1, v_2, ..., v_n]$
Calculate the max: $m_1 = \max V_1 = v_i$
Shuffle the vector: $V_2 = mix(V_1)$
Calculate the max: $m_2 = \max V_2 = v_j$
The only possible outcome is that $...
- 911
1
vote
How translation invariance is achieved in CNNs?
When you apply a convolutional layer to an image $x$, you obtain a certain list of values:
$$h_1(x), h_2(x), h_3(x), ..., h_n(x) \tag 1$$
where each $h_i$ is just the function that applies the ...
- 242
1
vote
How to transform a loss function into a score function?
I suspect you could be reinventing the wheel a little bit here, because some of the description of what this task is for appears to match to a Reinforcement Learning (RL) scenario. You may find if you ...
- 29k
1
vote
How to generate a 3D model from only 1 image?
I don't know how hard that would be to program with an AI but an AI would not just create a 3-d model from your single picture. Rather it would look through the vast collection of pictures in its ...
- 281
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