Questions tagged [python]
For questions related to AI implementation in the Python language
290
questions
0
votes
0
answers
16
views
Predicting using time-series data and static data?
I have recently been working on predicting the final value of articles on Steemit.com using downloaded data. I have a large variety of features which divide into two types. Features which change over ...
-1
votes
0
answers
15
views
How to extract (Plutchik’s Wheel of Eight Emotions)emotions of every row of a dataframe? [closed]
I have this type of dataframe.
My objective is to extract emotion of every row (Plutchik's eight emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust)).
O/p :-
I started ...
- 119
1
vote
0
answers
24
views
Why is my convolutional neural network failing to classify user inputted images after having high accuracy in testing?
My CNN was trained on the Kaggle A-Z Dataset and consists of:
...
0
votes
0
answers
15
views
Build the architecture of an ensemble model for tabular classification
I have data that looks like this:
...
- 111
0
votes
1
answer
55
views
How can I reduce the loss? Why do I have the high loss and why do I have the gradient?
I want to classify some images (there are about 200.000 images) with a CNN. But I get a very high loss, see figures:
Loss over the hole training run
Loss for each epoch
It's confused me, that there ...
0
votes
0
answers
8
views
Quick Lightweight Image Segmentation Model For Training on Custom COCO-Format Dataset
I'm trying to build a model for image segmentation on a Raspberry Pi. I have a dataset with annotations in the COCO-format that took a long time to build, so I'd prefer not to have to build another ...
- 111
0
votes
0
answers
24
views
What could be causing the poor performance (MSE) of a dense neural network on a real time-series dataset?
I am trying to understand time series analysis and actually I am following the course "Sequences, Time Series and Prediction" in Coursera. The course is based on a synthetic dataset, ...
- 211
0
votes
0
answers
9
views
How to get match probability of the input text to the historical data?
I have 4 bln rows of data and unique 7500 products. Product ID has the commercial name of the product, which means that Product X can have a different set of descriptions.
For example,
...
0
votes
0
answers
15
views
Matching a reconstructed 3D Face Model and a 2D Image
I'm working on a project where I should replace the face in the original video with a reconstructed face. I read a lot of articles about keypoints matching and deepfake but there are no pretrained ...
- 1
1
vote
1
answer
21
views
Prediction of continuous variable based on threshold
The independent variables are date, count, atmp, and ...
- 111
0
votes
1
answer
20
views
Emulate program behavior using neural network
I have an exe file but no access to its source code. It takes as input a list of 8 parameters and prints text files containing the output. I was wondering if it is possible to write an AI-based ...
- 1
0
votes
1
answer
28
views
Having the negative cases in the same batch vs. shuffling the dataset
I am working on a model for an NLP task. The model encodes the text and has a regression output layer.
In this task, from each instance (positive), I create several negative cases using a specific ...
- 123
0
votes
0
answers
17
views
How can I find the factor contributing to a prediction? [duplicate]
I've developed a neural network which predicts if someone is diagnosed with cardiovascular disease. Is it possible to find out which feature is the main cause of the prediction? For example, when a ...
- 1
0
votes
0
answers
117
views
Compare Strings composed from 2-3 words using NLP/ML(Python)
I have a database of books. Each book have a list of categories that describe the genre/topics of the book (I use Python models).
Most of the time, the categories in the list are composed from 1-3 ...
- 101
0
votes
1
answer
72
views
Does Value Loss in Actor Critic not decrease at all?
I am coding a problem with the Actor-Critic Method. The final loss is a summation of PolicyLoss and ValueLoss. The calculation of the PolicyLoss for each step is given at Equation Number 5 of https://...
0
votes
0
answers
19
views
Arabic words are reversed when I call lstmeval while training in tesseract
I've been trying to train for a new font using Tesseract. It has worked with the default data. But I wanted to train the model for my own generated data which is close to the data that I wanted to use ...
0
votes
1
answer
60
views
Where can I find authentic references on "categorical cross entropy" and "categorical accuracy metric"?
My Python source code uses TensorFlow and Keras to implement a neural network.
The Keras source code uses something called "categorical cross-entropy" and "categorical accuracy metric&...
- 91
0
votes
0
answers
17
views
Is there a vectorized Implementation of Convolution (Full Mode) with a very big kernel/gradient?
I'm currently trying to figure a way to implement the backpropagation of a convolutional layer with plain numpy.
In theory, I can calculate the partial derivative of the loss w.r.t. the convolution ...
0
votes
0
answers
15
views
Is this the correct method for how to implement a stratified K fold with grid search SVC?
I'm writing a support vector classifier for a binary class using some toy data. This is the code:
...
- 267
0
votes
1
answer
28
views
Why does validation accuracy stop rising so soon?
I have implemented a GRU to deal with youtube comment data. I am a bit confused about why the validation score seems to even out around 70% and then keeps rising, this doesn't look like overfitting ...
- 1
1
vote
0
answers
72
views
The results changed even though seed is fixed [closed]
I am using a reinforcement learning model for some tasks.
and for the model, I am using stable_baselin3 and for the environment, I am using the gym.
I made a small change in the environment and the ...
- 19
1
vote
2
answers
284
views
Are these book example CNN results realistic?
I've been following a deep learning book and the current section I'm on is about convolutional neural networks. The author presents some code to create a basic CNN with about 1 million parameters, ...
- 21
0
votes
1
answer
55
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 ...
- 109
0
votes
0
answers
44
views
Evaluating different board states with a minimax AI algorithm python
I am working on writing a connect 4 game as well as a minimax algorithm to play against. I am currently writing and implementing the minimax algorithm. Right now I am just trying to print out all ...
1
vote
0
answers
23
views
Can I use a Mask R-CNN to detect a skin texture?
I'm trying to implement a solution in python to detect skin in an image.
I'm evaluating the Mask R-CNN model to create a mask on the skin (not on clothes). The problem is that every solution I have ...
- 11
0
votes
0
answers
34
views
What is the best machine learning algorithm for clustering dots based on coordinates $(x,y)$ with consideration of weight of the points?
I'm looking for a machine learning algorithm for clustering points based on their coordinates. Furthermore, I want to take into consideration the weights of each point. Suppose there is a weight in ...
0
votes
0
answers
37
views
What model to train to restore MNIST test dataset
I came across this problem, and am not sure where to start. What model would work best for this problem and why?
Imagine the digits in the test set of the MNIST dataset (http://yann.lecun.com/exdb/...
1
vote
1
answer
50
views
Feature Extraction for printer classification
I need some advice. I am currently trying to do a printer classification with ML/DL.
What do I have?
11 colored-images with high resolution from 8 different inkjet-printers (in total 88 images)
I have ...
- 111
2
votes
0
answers
40
views
How rewards are playing role in Deep Q Network
I have started working on Reinforcement Learning, specifically DQN. And I have watched some interesting videos on it. However, I have some doubts about how the model works.
Let's say we are playing ...
0
votes
0
answers
21
views
Which AI algorithm to use for identifying API for a specific use from a list of APIs?
We have a legacy code solution in C#. We have to change the code so that it fetches internal data via APIs and not via DB calls.
E.g. if the current code GETS Payment object from DB, we have to ...
- 1
0
votes
0
answers
24
views
Adversarial Autoencoder is not working and not learning properly
I am trying to get an Adversarial AutoEncoder going using keras Fit method on a keras.model class but for some reason it is not working.
Keep in mind that I tried updating encoder and decoder at the ...
- 1
0
votes
0
answers
23
views
Find words in a raw text that are similar to a predefined array of words
I need a beginner advice regarding a simple application where I have a very limited set of topics in which i need to identify inside a user's natural language text/sentence.
For example, one of the ...
1
vote
1
answer
68
views
What is the best open source python repo for facial recognition? [closed]
I am looking for best open source python repo for facial recognition. Best if it uses tensorflow backend. I know you can train images to recognize. Yolo can be used if trained on face. To name the ...
1
vote
0
answers
91
views
Implementation of MDP in python to determine when to take action clean
I am trying to model the following problem as a Markov decision process.
In a steel melting shop of a steel plant, iron pipes are used. These pipes generate rust over time. Adding an anti-rusting ...
- 111
0
votes
0
answers
16
views
What are the pros and cons of using a normal positional encoding in an adjacency matrix?
I understand that a normal positional encoding helps a transformer to understand pictures better and that it allows the (otherwise permutational invariant transformer-network) to create relationships ...
0
votes
0
answers
18
views
Categorical Location based Time Series data Prediction using LSTMs
I have some time series data with ActivityType as location shared below.
Each CaseID has 6 unique values with different ...
0
votes
0
answers
29
views
Why isn't my perceptron having the expected costs?
I want to implement a single perceptron for linear regression using the following formulas:
The input data for the first case is one column (x(392, 1); y(392, 1)) ...
- 215
2
votes
1
answer
76
views
How to generate a response while considering past questions as well?
User: What is the tallest mountain?
Agent: Everest
User: Where is it located? # Agent hears: "Where is Everest located?"
Agent: Nepal
I want to be able ...
- 21
0
votes
1
answer
38
views
Identify whether two companies are the same
I am trying to solve a problem where I need to map multiple variations of a company name to a single name. For example: say I have a company named ...
- 101
1
vote
0
answers
64
views
How to parallelize multi-agent DDPG (MADDPG)
I am experimenting with MADDPG algorithm implemented in this repo. Since there were only a few agents (2-3) in the implementation (also in the original paper) steps like parameter updates, action ...
- 167
0
votes
1
answer
131
views
Which of the following two implementations of a Least Squares classifier in Python is correct?
I am trying to solve a classification problem by implementing the Least Squares algorithm in Python. To solve this problem, I am implementing the linear algebra formula to train the classifier, which ...
- 1
1
vote
0
answers
17
views
The results are not correct when predicting the future for a very long period of time with LSTM
I am currently using LSTM to try to predict future data in AirPassengers.csv.
This is current code op my Colab (sorry for the comments are Japanese)
https://colab.research.google.com/drive/...
- 13
0
votes
0
answers
31
views
Which Neural Network Topology to choose, are Transformers suitable?
I have a regression problem and I am not quite sure which architecture to choose. I never worked with transformers before, but I generally understand how they work and I think they might be suitable. ...
0
votes
0
answers
30
views
Graph neural network - what level (node or link or graph) prediction should be used for my problem?
I posted this on cross-validated but did not get a response. Trying my luck here. Sorry if this is not recommended.
I have an undirected graph with nodes separated within a specified distance, say d, ...
- 1
0
votes
0
answers
22
views
LSTM predictions are one time step lagging
My problem involves electricity prediction (time-series problem) for 1-hour ahead. I am using LSTM to forecast.
Length of Dataset: 1 year at one-hour interval
Input: Outdoor Temperature (Ot), ...
- 101
0
votes
1
answer
26
views
Data analysis before feeding to ML pipeline
I'm new to machine learning and I've been working through a dataset of ~3000 records with ~100 features. I've been hand rolling Python and R scripts to analyse the data. For example, plotting the ...
- 103
0
votes
0
answers
162
views
Compute IoU for each class in Mask R-cnn
I'm trying to compute the IoU, with the matterport Mask R-cnn implementation, for each class (13 in total) that i have in my dataset. For now i managed to compute the average IoU for all the classes ...
1
vote
0
answers
103
views
Why doesn't this Monte Carlo Tree Search algorithm work properly?
PROBLEM
I'm writing a Monte-Carlo tree search algorithm to play chess in Python. I replaced the simulation stage with a custom evaluation function. My code looks perfect but for some reason acts ...
0
votes
1
answer
59
views
Train a deep learning model with input as a vector and predicts as a vector? [closed]
I am trying to build a Deep Learning model that takes a numeric vector $X$ of dimension $1 \times 50$ and predicts a numeric vector $y$ of dimension $1 \times 50$.
It's a linear regression problem. I ...
- 3
0
votes
0
answers
14
views
What next after LDA and NMF for topic modelling (with Python)?
I have used NMF and LDA for topic modelling in Python, with what I would call good results with NMF, and poor results with LDA.
My data is highly domain-specific, with a lot of unique/specific ...
- 101