Actually there is an easiest way to train you own Image. You can use Firebase Machine Learning. You only have to upload your images and define the labels. But if you still wanna train a model by your hands, you can continue read this blog. In this tutorial, you'll see Step by Step to Train your own Image Dataset for Deep Learning Using Tensorflow
Prepare as many as possible sample images. Put them into each folders by the classification/labels.
For this i will use mine from this story. You can use
cat and dog or
mnist dataset for this.
Y_TRAIN. Both of them as array.
Create variable arrays called
labels that contains the name of labels or classifications of your model.
Save the index of variable
labels into variable
Y_TRAIN. We implicitly encoding that labels into number. So that we can pass it to model.
Load the image folders. Iterate 1 by 1 the files and adding including the index of label name into variable array. For this variable
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