#Basic-Neural-Networks-with-native-packages-and-Numpy In this respitory, I am going to collect projects about deep learning and Neural Networks which is coding in basic packages like Numpy and native Python packages as much as possible. In addition, I will try to explain and give my oppinion to the projects and coding programs that I suppose that it would be helpful to beginer. bassically, the model should be like this:

The model in the first project has 2 layers which are a hidden layer followed with an ouput layer. The input of the hidden layer is the training data. Technically, this could be considered as a dependent layer but in fact, there is no parameters in it, so it shouldnt be a layer :D In the ouput layer, softmax function is applied to give probabilities of predictions.