Explain cross entropy loss.
Suppose I build a neural network for classification. The last layer is a dense layer with Softmax activation. I have five different classes to…
2 Answers · 1.1K Views · Answered ✓
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Suppose I build a neural network for classification. The last layer is a dense layer with Softmax activation. I have five different classes to…
2 Answers · 1.1K Views · Answered ✓
This is my codeimport numpy as npimport matplotlib.pyplot as pltimport pandas as pd#Importing Datasetdataset = pd.read_csv('C:/Users/Rupali…
1 Answer · 2.0K Views · Answered ✓
Which is better for accuracy or are they the same? Of course, if you use categorical_crossentropy you use one hot encoding, and if you use…
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I developed a machine learning model with Python (Anaconda + Flask) on my workstation and all goes well. Later, I tried to ship this program onto…
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The model of linear regression is linear in parameters.What does this actually mean?
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Given a list of strings L1 L1 = ['a', 'b', 'c'], I need to extract the rows which contain the values given in list L1. I used the isin function:…
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I have a 3d graph. It has 2 angles as X and Y and the Z axis is amplitude value (Each 3D graph is representing a pixel). I want to model this into…
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As you can see, it is about a binary classification with linearSVC. The class 1 has a higher precision than class 0 (+7%), but class 0 has a higher…
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For day and night image classification, is it better to normalize or standardize images? In general, when should I use each method? I am interested…
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I am familiar with terms high bias and high variance and their effect on the model. Basically your model has high variance when it is too complex and…
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I am trying to convert files stored in a CSV file dataset to grayscale. I run the code which worked on my previous dataset but I now get this…
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I'm trying to do a majority voting of the predictions of two deep learning models.The shape of both y_pred and vgg16_y_pred are (200,1) and type…
1 Answer · 1.5K Views · Answered ✓
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