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A convolutional neural network is a form of neural network with an additional convolutional layer, typically used in image & audio analysis. The convolutional layer is essentially a filtering stage defined by the kernel which is used. For example, a convolutional layer could have a kernel which extracts edges from an image towards the goal of learning which objects are in a scene.
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Testing accuracy very low, while training and validation accuracy ~ 85%
I have a training dataset of 10000 pictures and a test dataset of 15000 pictures. There are 23 types of birds.
First of all, I imported the necessary
import tensorflow as tf
from tensorflow import ke …
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Accepted
Testing accuracy very low, while training and validation accuracy ~ 85%
I believe this could help someone. The problem was that the output classes were randomly assigned. My classes are called: 0,1,2,3,4...,22. However, DataGenerator assigned output '5' to class 13, outpu …