From b7610f4b9e0e0f7d9f375361b24f719f17f1d855 Mon Sep 17 00:00:00 2001 From: Vita Aeterna <75674735+VitaAetaerna@users.noreply.github.com> Date: Thu, 5 Jan 2023 00:09:09 +0100 Subject: [PATCH] Create README.txt --- README.txt | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 README.txt diff --git a/README.txt b/README.txt new file mode 100644 index 0000000..8a8d243 --- /dev/null +++ b/README.txt @@ -0,0 +1,19 @@ +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! + + +