Questions tagged [python]

For questions related to AI implementation in the Python language

Filter by
Sorted by
Tagged with
1
vote
0answers
20 views

Why I got the same action when I train A2C when I increase the number of episodes?

I'm working on an advantage actor-critic (A2C) reinforcement learning model but the problem when I trained the system for 3500 episodes, I start to get the same action for all my testing results. ...
1
vote
1answer
50 views

Interpretation of feature selection based on the model

The description of feature selection based on a random forest uses trees without pruning. Do I need to use tree pruning? The thing is, if I don't cut the trees, the forest will retrain. Below in the ...
1
vote
0answers
42 views

Is it possible to use entity embedding with autoencoder for anomaly detetction?

I'm trying to build autoencoder in keras in order to detect anomalies. However, most of the data is categorical and I have to encode it. When it comes to production, categorical features can take new ...
0
votes
1answer
29 views

not sure if fine-tuned network is finely-tuned

I am practicing with Resnet50 fine tuning for binary classification task, here is my code snippet. ...
1
vote
0answers
23 views

Can anyone explain the pixelwise accuracy metric used in this paper? Also a question to the KL Divergence Loss

So I am making a project based on this paper: https://arxiv.org/ftp/arxiv/papers/1901/1901.07761.pdf In this paper, a U-Net is used to generate optimized mechanical structures. I am trying to ...
1
vote
1answer
50 views

How many parameters are being optimised over in a simple CNN?

Okay so here's my CNN (simple example from a tutorial) along with some arithmetic to get the total number of free parameters. We've got a dataset of 28*28 grayscale image (MNIST). First layer is a ...
1
vote
0answers
37 views

How can I split the data into training and validation sets such that entries with a certain value are kept together?

I have the following kind of data frame. These are just example: A 1 Normal A 2 Normal A 3 Stress B 1 Normal B 2 Stress B 3 Stress C 1 Normal C 2 Normal C 3 Normal ...
2
votes
1answer
40 views

Why does the denoising autoencoder always returns the same output?

I am trying to implement a denoising autoencoder (DAE) to remove noise from 1024-point FFT spectra. I am using two types of spectra: (1) that contain a distinctive high amplitude spectral peak and (2) ...
2
votes
0answers
20 views

Can't figure out what's going wrong with my dataset construction for multivariate regression

TL;DR: I can't figure out why my neural network wont give me a sensible output. I assume it's something to do with how I'm presenting the input data to it but I have no idea how to fix it. Background:...
3
votes
0answers
30 views

Reinforcement Learning on quantum circuit

I am trying to teach an agent to make any random 1-qubit state reach uniform superposition. So basically, the full circuit will be ...
1
vote
1answer
26 views

Deep Learning models train really slow Jetson Nano [closed]

I recently bought a Jetson Nano and I'm amazed with everything about it. But I don't know what is happening, because I created a very simple neural network with keras and it's taking way to long. I ...
1
vote
0answers
35 views

Why isn't this deep Q network agent for the snake game learning?

I wanted to combine this snake game with this DQN implementation I found in this article. First, I tried to change the NN's input layer to a 400 input. The game has a field of 20 times 20, so I ...
3
votes
1answer
125 views

How can I minimise the false positives?

I have 50,000 samples. Of these 23,000 belong to the desired class $A$. I can sacrifice the number of instances that are classified as belonging to the desired class $A$. It will be enough for me to ...
2
votes
1answer
32 views

How to reduce variance of the model loss during training?

I know that stochastic gradient descent always gives different results. What are the best practices to reduce this variance today? I tried to predict simple function with two different approaches and ...
2
votes
0answers
25 views

How would one develop an action space for a game that is proprietary?

I'm currently trying to develop an RL that will teach itself to play the popular fighting game "Tekken 7". I initially had the idea of teaching it to play generally- against actual opponents with ...
2
votes
2answers
78 views

Are there any public real-life code examples of ML applications in Python?

Problems I often face at work usually differ from tutorial or book-like examples so I end up with a code that works but it's not elegant and takes too much time to write. I wanted to ask you if there ...
2
votes
0answers
14 views

Calculation of Neural network biases in backpropagation

While learning neural networks I've found a basic Python working example to play with. It has 3 input nodes, 4 nodes in a hidden layer, 1 output node. 5 data sets for training. The initial code is ...
0
votes
0answers
17 views

Same implementation, but agent is not learning in Retro Pong Environment

I tried to implement the exact same python coding by Andrej Karpathy to train RL agent to play Pong, except that I migrated the environment from Gym to Retro. Everything is the same except the action ...
0
votes
0answers
12 views

Plot class activation heatmap of Caffe Model in Python

Given the following 3 research papers, the authors have shown different heatmap graphical representations for features of the trained CNN models: On the performance of Convnet feature for place ...
3
votes
1answer
44 views

Is there any Python library available for manifold learning using diffusion map?

I would like to use unsupervised learning with a technique called diffusion map based manifold learning in Python. The original paper on the diffusion map is An Introduction to Diffusion Maps. I have ...
2
votes
1answer
56 views

What is the fastest way to train a CNN with billions of examples?

I have a CNN model that I need to train for a large scale genomics application. It is working well with a subset of my training data. I have scaled up to a subset of about 130 million examples and ...
5
votes
1answer
63 views

How do I combine models trained on different data to increase classification accuracy?

I have two trained models. One is using a LinearSVC algorithm and is trained on numerical data from medical examination from patients with diabetic retinopathy. The second one is a neural network ...
4
votes
2answers
36 views

Using a neural network to identify a stable region within a set of data?

I am working on a problem in which I am attempting to find a stable region in a spiral galaxy. The PI I'm working with asked me to use machine learning as a tool to solve the problem. I have created ...
0
votes
0answers
29 views

How could I locate certain words or numbers in a financial statement?

I would like to code a script that could locate a specific word or number in a financial statement. Financial statements roughly contain the same information, they are however not identical and ...
2
votes
0answers
55 views

Which machine learning algorithms can be used to build a recommendation system?

I am working on building a recommendation engine. I need to build a model that recommends similar items. Currently, I am using the Nearest Neighbor algorithm present in ...
1
vote
1answer
24 views

Is a VGG-based CNN model sometimes better for image classfication than a modern architecture?

I have an image classification task to solve, but based on quite simple/good terms: There are only two classes (either good or not good) The images always show the same kind of piece (either with or ...
2
votes
0answers
10 views

How to learn using DDPG in python solely using a timeseries datasets

I have a lengthy timeseries datasets which contains several variables (from sensors etc) to be classified as actions or states. Providing they are successfully done, I want to learn a control policy ...
2
votes
1answer
104 views

How to Extract Information from the Image

I'm trying to extract some particular information from the image(png). I tried to extract the text using the below code ...
3
votes
1answer
45 views

when should I create a custom loss function?

Hi I'm using neural network to solve a multi regression problem. I'm trying to predict continuous values, to be more specific I'm making a tracking algorithm to track the position of an Object, I'm ...
1
vote
0answers
37 views

Did I understand deep Q leaning right? (Implementation)

Gday guys, so I tried to implement my own enviroment and agent in order to fully understand DQNs. The enviroment is a dungeon with five states. actionspace = 2 statespace = 5 !!!Action a0 is ...
0
votes
0answers
19 views

Ideas on how to train an AI to play Mario Kart with the DeSmuME Emulator

Gday guys, i have this idea in my mind for quite a while. I want to teach an AI to play Mario Kart on the NDS, which can hopefully beat me and my friends one day. Iam familiar with the theoretical ...
2
votes
0answers
17 views

How to choose the suitable Neural Network Architecture for Regression Tasks

so I'm working on a Project where I want to predict the Vehicle Position from the Vehicle Data like speed, acceleration etc.. now the data that I have comes also with a timestamp for each sample ( I ...
1
vote
1answer
45 views

Can A.I/Deep Learning use one image as content for another image?

Is it possible for A.I to redraw an image in a new context? More specifically, suppose I take a photo of a notebook. I get the angle, lighting and perspective perfect. Now I copy an image I found ...
0
votes
0answers
39 views

How to calculate covariance matrix of the mini-batch in the k-th layer using Python?

I am a beginner in Python. I want to calculate the covariance matrix of a mini-batch in a given hidden layer.
2
votes
0answers
33 views

How to control the switches of a railway track with Artificial Intelligence?

Usually, it's very complicated to program a real time strategy game from scratch. Notable examples like Lemmings or Starcraft are software projects with a large amount of codelines. A much easier ...
4
votes
1answer
40 views

Why is batch gradient descent performing worse than stochastic and minibatch gradient descent?

I have implemented a neural network from scratch (only using numpy) and I am having problems understanding why the results are so different between stochastic/minibatch gradient descent and batch ...
2
votes
0answers
43 views

how to use Softmax action selection algorithm in atari-like game

I'm currently writing a program using keras (python 3) to play a game similar to Atari games, only in this one there are objects moving in the screen in different angles and directions (in most of ...
4
votes
1answer
46 views

How Machine Learning Studies Correlation?

This is my problem: I have 10 variables that I intend to evaluate two by two (in pairs). I want to know which variables have the strongest relationships with each other. And I'm only interested in ...
-2
votes
1answer
984 views

Python ERROR: No matching distribution found for tensorflow [closed]

Now as I understand that kind of technical questions is out of scope for the ai.stackexchange.com I will use stackexchange.com for such technical questions. Thank you for you all for your ...
0
votes
0answers
65 views

Matterport MRCNN and multiclass classification

I want to create a model which solve a multiclass classification problem. The main concept is: every picture contain only one object the background is very simple all object is coming from the same ...
1
vote
0answers
28 views

I am trying to create a network with dynamic connections for every different training example

I have developed a new algorithm which has dynamic connections. it is based off of the following paper: https://www.researchgate.net/publication/...
0
votes
1answer
1k views

'numpy.ndarray' object is not callable error [closed]

I want to find optimize minimum value but it shows 'numpy.ndarray' object is not callable error. This is my code in python ...
1
vote
1answer
31 views

Can ConvLSTMs outuput images?

I am working on an image to image regression task which requires me to develop a deep learning model that takes in a sequence of 5 images and return another image. The sequence of 5 images and the ...
2
votes
0answers
77 views

Image to image regression in tensorflow

I am working on an image to image regression task which requires me to develop a deep learning model that takes in a sequence of 5 images and return another image. The sequence of 5 images and the ...
1
vote
0answers
40 views

How can construct python programming environment? [closed]

Now, I don't have full experiences with python using anaconda, so help me. In anaconda how can I use python in the field of object tracking.
0
votes
0answers
20 views

Suggestions for Deep Learning for regression on huge 3D volumes

I have a dataset of 3D images (volumes) with dimensions 400x250x400. For each input image I have an output of the same dimensions. I would like to train a machine learning (or deep learning) model on ...
0
votes
0answers
17 views

How to use FSICFR (or CFRM) trained result in real dice game playing

I trained a Liar Dice game (similar rule please refer to https://www.wikihow.com/Play-Liar%27s-Dice , and i am using 2 player + 1 dice vs 1 dice) with FSICFR algorithm and got an information set with ...
4
votes
2answers
110 views

Is it possible to teach an AI to edit video content?

Every week I will get a lot of videos from a game that I play, outside the game where you throw wooden skittle bats at skittles, and then I will cut videos, so that, at the end. there is video only ...
1
vote
1answer
81 views

Deep Q Learning Algorithm for Simple Python Game makes player stuck

I made a simple Python game. A screenshot is below: Basically, a paddle moves left and right catching particles. Some make you lose points while others make you gains points. This is my first Deep Q ...
32
votes
8answers
13k views

Is a switch from R to Python worth it? [closed]

I just finished a 1-year Data Science master's program where we were taught R. I found that Python is more popular and has a larger community in AI. Is it worth for someone in my position to switch ...