How to feed image to neural network

1. How does a neural network recognize images?
2. Can a neural network output an image?
3. How many images do you need to train a neural network?

How does a neural network recognize images?

In contrast to older approaches, it detects objects in an image with a single pass through a neural network. In short, it divides the image into a grid, predicts two bounding boxes for each grid cell (i.e. exactly the same thing we did above), and then tries to find the best bounding boxes across the entire image.

Can a neural network output an image?

It can produce images as the output layer in a machine learning model. The output layer has all the desired features that you want in your image. Once you learn how to do it, there are endless possibilities for outputting an image through a convolutional neural network (CNN).

How many images do you need to train a neural network?

Usually around 100 images are sufficient to train a class. If the images in a class are very similar, fewer images might be sufficient. the training images are representative of the variation typically found within the class.