overfitting - 
theta - 
chain rule - 
softmax - statistical function
backpropagation - 
neuron - 
dimensions - number of features in a vector
vector - list of features, mostly expressed in a numerical value
matrix - a set of vectors, with as many rows and columns as dimensions (d) in the vectors (d x d)
skip gram - 
glove - specific word embedding software developed by the Stanford University (comparable to word2vec(?)). Richard Sochner is one of the 3 main developers of it. https://nlp.stanford.edu/projects/glove/


Concepts to explain during workshops, a possible order of explaning 
- different type of problems: classification / regression (information retrieval)
- neural network layers principle
- perceptron/softmax as a simple classifier
- data : where to get, how to get, how to prepare, how much
- turning words into a matrix / one-hot-vector and other techniques