M0hc3n/Deep-Learning-Model-to-Detect-Whether-The-City-is-Algiers-or-Not

This is a simple Deep neural network trained to solve a binary classification problem, which is deciding whether some picture represent the city of Algiers or not. # Deep-Learning-Model-to-Detect-Whether-The-City-is-Algiers-or-Not This is a simple Deep neural network trained to solve a binary classification problem, which is deciding whether some picture represent the city of Algiers or not. ## Data : The data used was gathered using Download All Images Extention The result can be found in /data folder. ## Training: The model used has 3 blocks of convolutional layers and Max pooling layers, The two final layers are a flatten layer and a dense one. The last layer has one unit whose objective function is Sigmoid (between 0 and 1). The resulting plots can be found on the code file. ## Manual Testing: When we feed the model with two pictures (one of Algiers and one of not) that can be found in /test. The result is like so: ### First test: The above picture is a picture of Algiers, we can see that the model has correctly predicted it ### Second test: The above picture is not a picture of Algiers, but rather of Constantine. We can see that the model has correctly predicted it