All Questions
Tagged with machine-learning numpy
1,839 questions
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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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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 ...
- 59
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86
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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 ...
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67
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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 ...
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35
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Scalability Issue in recommender system
I'm new to recommender system and I'm currently building a collaborative filtering based recommender system. In my dataset there are current 600 users and 9000 items having different ratings. I have ...
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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 ...
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112
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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 -...
- 11
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1
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106
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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 ...
- 109
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37
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Linear regression model barely optimizes the intercept b
I've programmed a linear regression model from scratch. I use the "Sum of squared residuals" as the loss function for gradient descent. For testing I use linear data (y=x)
When running the ...
- 11
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50
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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 ...
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72
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`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 ...
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Perceptron naive implementation in Numpy drastically diverges from its list implementation
While making a simple Machine Learning project, I've decided to rework a piece of list logic using numpy arrays. Just changed numerical incrementation in loops to numpy arithmetics. However, numpy ...
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56
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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, ...
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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) -&...
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