Question: Design and train a convolutional neural network to classify a dataset of 1 0 1 x 1 0 1 pixel png images into 2 classes

Design and train a convolutional neural network to classify a dataset of

101

101

pixel png images into

2

classes using python and any library. the

(

training dataset

)

dataset contains

11000

images with

5500

that belong to class

1

and

5500

that belong to class

2 .

The code should be set up so that it requests as input a path to the folder containing test images, and the trained model

,

the output should be written to an excel file with image name and in another column the classification it was labeled according to the model, the excel file should also include how many images were classified label

1

and other label

.

using python

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