All Questions
1,512 questions
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54
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I am having a error with shape alignment, how can I solve this?
This is the code for a self playing game with a feedforwrd only neural network. I am gettin a error with the shapes alignment and I'm not being able to solve it
setup.py:
import pygame
import os
...
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0
answers
52
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Stable torch, ultralytics, tensorflow packages for requirements.txt
I'm writing a requirements.txt for a real-time sports video analysis project and testing various libraries such as YOLOv8, Torch, TensorFlow, etc.
I've tried multiple Python versions but encountered ...
1
vote
1
answer
87
views
numpy eager execution problem after loading a CNN model
I want to save and load a CNN model to further training. I have developed a model and saved it as .h5 file. There is no problem when creating, training, and saving at first run.
The problem exists ...
0
votes
1
answer
67
views
Tensorflow model training, List to numpy array conversion unevenly changes the shape of data
I am trying to predict LSDC from MRI images. For each study_id there are multiple images. Each study_id represents each patient. I want to predict 3 level of severity for 5 conditions on 5 levels.
I ...
0
votes
1
answer
81
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Implementing a perceptron using numpy [closed]
I'm trying to implement a perceptron in python using numpy, when using the notation z=XW+b everything is fine. While studying ML I do see though that z=WX+b is also common, especially when talking ...
0
votes
1
answer
112
views
Training a Keras model to identify leap years
I'm trying to teach my learning model how to identify leap years.
My Python code can be seen below:
import tensorflow as tf
import numpy as np
import calendar
# ------------------- UTILITY FUNCTIONS -...
0
votes
1
answer
106
views
NumPy Stride Tricks: Is it possible to add the windows back into the original array size at the same location without for loops?
I'm currently trying to implement my own version of 2D Pooling (with channels included) in Python using only NumPy, but I've run into a bit of a roadblock with vectorizing the backpropagation process. ...
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103
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Regression in Custom Neural Network giving same output for all inputs
I have recently started studying Neural Network and thought about writing my own Neural Network before using libraries like tensorflow or pytorch so that I understand deeply what happens inside the ...
0
votes
1
answer
50
views
Statistical learning confusion table variable
I am getting an extra variable in my confusion table, not sure where it's coming from.
The Dataset 'Default' has the following columns: default, student, income, balance
The variable 'default' has two ...
0
votes
2
answers
72
views
`ValueError` in Matrix Multiplication for Gaussian Process Regression Implementation
I'm implementing a Gaussian Process Regression (GPR) model in Python using a Squared Exponential Kernel. However, I'm encountering a ValueError during the matrix multiplication step of the predict ...
0
votes
1
answer
56
views
ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type csr_matrix)
I tried to run:
import numpy as np
import pandas as pd
import tensorflow as tf
import numpy as np
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Embedding, ...
0
votes
0
answers
39
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resample_poly of one-hot encoded masking
I have these tensors:
X_test = X_unseen_flutter[0,0,:][None, :] # (Batch Size, Amplitude Length) -> (1, 3208)
y_true = y_unseen_flutter[0,0,:][None, :] # (Batch Size, Mask Length, Num of Classes) -&...
0
votes
0
answers
755
views
Getting Error "object __array__ method not producing an array" while training a model
I am trying to train a model using the neural network model Sequential. Every thing is going good till the model compilation. As soon as i hit model.fit() for model training i get the error "...
1
vote
1
answer
63
views
Get directional elements in matrix
Lets suppose that I have a point of interest in my matrix that is NxN. The point is located in the position ij. So, given the index ij, is there a simple way to get the line elements passing trough ij ...
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0
answers
51
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Create a Machine Learning Numpy array with scalar features and an N-dimensional Coordinate Vector feature
I'm trying to format my data for a ML program. There are 33,000 events and each event has 3 things I want to consider: Mass, Energy, a coordinate.
The Mass is of the shape (33000,) and looks like: [...