# All Questions

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### Is the phrase "Feature Pyramid Network" refer to CNN only?

"Feature Pyramid Network" is a network that is used for feature extraction. Since it is pyramid in shape, it might be called so. Consider the following excerpts from two different sources #1 ...
29 views

### How to use EfficientDet for semantic segmentation?

In the EfficientDet paper, section 5.2. 5.2. EfficientDet for Semantic Segmentation, the authors say we modify our EfficientDet model to keep feature level $\{P2, P3, ..., P7\}$ in BiFPN, but only ...
63 views

### How is the sub-theory relation represented using Conceptual Graphs?

This post follows on from 3 previous questions (Q1,Q2,Q3) on Conceptual Graphs (CGs). This is a difficult question to pose, because it assumes that I know how to represent theories in CG. I do not ...
35 views

### Is there an approach where the output of one neural network is used to choose the next neural network?

I'd like to design a deep learning architecture in which the output of a primary neural network $M_{\theta}$ determines which neural network $N^i_{\alpha}$ in a set of secondary networks $\mathcal{N}$ ...
30 views

### How to use Actor-Critic RL with a categorical, state-dependent action space?

I have a problem where the agent is given an embedding vector to represent the state. Then it is also given a set of possible actions in the environment, let's say that the actions are each ...
13 views

### How does Stack-Augmented Recurrent Nets in work?

I am new to RNN/LSTM and I am working on a project about language modeling. I just got familiarized with simple RNN and LSTM. However, these simple models did not achieve the performance I want. Since ...
50 views

### Is there a way to use AI to compare thousands of files and detect the ones containing "unusual" content?

Is there a way to use python and AI to compare thousands of files and detect the ones containing "unusual" content? Those files are supposed to have "homogeneous" configuration ...
28 views

### How to calculate sensitivity and specificity given AUC score?

I couldn't find any relevant information on how to calculate sensitivity and specificity with AUC score. There is one picture that presents what I want, however I wasn't able to interpret it for my ...
43 views

### Can anyone please explain TFLite quantization part found in Netron neural network viewer?

I was checking tflite file in Netron. There I found the quantization formula in Netron as below: quantization: 0.007709330413490534 * (q + 3) I know the ...
18 views

### Is it possible that a deep neural network, with some variations, can be used for multiple tasks?

I am asking this question on deep neural network architectures only. If you want to restrict the domain of tasks then you can choose computer vision for this question. Suppose there is an architecture ...
39 views

### Is it effective to use deep learning method to produce a 1D signal as output from a 2D image as input?

I have a 1D signal that will produce a 2D image after some image processing algorithm. Would it be possible and effective to use deep learning method to reproduce the 1D signal if I have the 2D image ...
56 views

### Why is the performance of my neural network to predict if the mean of a randomly generated tensor is greater than $0.5$ not good?

I want to train a NN for classification the input x is a random tensor the output y=1 if ...
29 views

### What method is better to use for a two-player reinforcement learning environment?

I want to create an RL agent for a mancala-type two-player game as my first actual project in the field. I've already completed the game itself and coded a minimax algorithm. The question is: how ...
48 views

### How many layers and neurons in a FFNN do I need to make it equivalent to a CNN?

I started to learn machine learning early, and I studied the convolutional neural network and its ability to understand images and how it helps to reduce the number of parameters that need to be tuned....
22 views

### Is smoothing wrong in temporal predictions?

I found this paper from 2003 about predicting Forex rates: Using Recurrent Neural Networks To Forecasting of Forex. At the end of page 11, they say The network we built had two inputs and one output. ...
57 views

### What is the benefit of using a neural network instead of a look-up table in this case?

Assuming one has collected the 24 pairs of the input-output datasets for a target system: One can create a simple lookup table to describe the input-output behavior and utilize this as a controller. ...
36 views

### What exactly is data augmentation?

Data augmentation is useful in training. But, I am not sure when does a modification applied to data can be treated as data augmentation. Suppose a technique is applied on the instances of a dataset ...
51 views

### How to make NN distinguish between two types of functions (data)?

I have a neural network which is trying to predict two types of functions in a noisy setting. The input is an array, and the output is also an array. The two types of functions I am trying to predict ...
37 views

### Proper way to count environment steps / frames in distributed RL architecture for algorithms like CLEAR or LASER => modified impala with replay

In classical - on-policy - vtrace/Impala algorithm env_steps are incremented every training iteration like this : ...
19 views

### Does adding new keypoints increase accuracy for foot keypoint detection?

I am trying to have better results for foot keypoint detection(or foot pose estimation). In foot keypoints dataset the images labeleld for 6 different keypoints(big,small toes and heel for each foot). ...
44 views

### Is my intuition about RNN wrong?

Until today, my intuition about RNN (LSTM/GRU) was that this is some kind of NN that can remember previous inputs. Consider a task where you need to predict 0 if the previous input was 1. For example: ...
34 views

### Are there any algorithms (even backtracking variations) that solve the sudoku in a way more similar to this approach?

I looked a bit online for Sudoku solvers and it seems like all the answers I found involve a backtracking algorithm. However, this is not how humans (at least not me) solve Sudoku. We don't place in ...
31 views

### Is my calculation of the partial derivative of the cost function with respect to a single weight in the first layer correct?

I'm trying to understand the chain rule of backpropagation. This is what I understood. Is it correct?  \frac{\partial E }{ \partial w} = \sum_{i} \frac{\partial E }{ \partial a_i^{(l)} } (\sum_{j} \...
17 views

### What does "These designs employ skip connections to avoid a situation where the shortest path between time steps increases" mean?

Less popular alternatives include adding layers to the connections from input to the hidden state, between hidden states, or from the hidden state to the output. These designs employ skip connections ...
65 views

### How can we convert an MDP to a POMDP?

If a partially observable Markov decision process (POMDPs) is a generalisation of a (fully observable) MDP, then how exactly can we mathematically formulate an MDP as a POMDP?
13 views

### How to train with a non-differentiable activation function (such as SVT in deep unrolling low-rank optimization)?

I planned to design a deep unfolding for decomposition into low-rank and sparse in Pytorch environment. I read this paper that might help me to understand how to do it. I always taught that this model ...