Made by Vita_Aeterna and Google researches. 

Simple tensorflow Neural Network with Sigmoid and with Binary_Crossentropy, learning with and about accuracy and loss.
All of the Pictures are converted to (50,50) sized Pictures and also GrayScaled (To improve the learning process of the Neural Network).
At first i tested multiple Versions of The Neural Network, The one with the best Accuracy and smallest Loss is used to predict the Animals.
I noticed that if u give an invalid picture like a Man or a Woman the Neural Network will always give the Ouput 0!




As Input a Picture of a Dog or a Cat is given (Need to change Name of your Picture in "EndProduct" script, default Name is "dog.jpg")
Note that the Picture has to be in png or jpg Format. 

As Output, 0 or 1 is given. 

!0=Dog; 1=Cat!