add new sections and some todos

materialandmethods.typ

@@ -210,7 +210,7 @@ CAML (Context aware meta learning) is one of the state-of-the-art methods for fe
 Todo
 
 === Softmax
-
+#todo[Maybe remove this section]
 The Softmax function @softmax #cite(<liang2017soft>) converts $n$ numbers of a vector into a probability distribution.
 Its a generalization of the Sigmoid function and often used as an Activation Layer in neural networks.
 
@@ -222,6 +222,7 @@ The softmax function has high similarities with the Boltzmann distribution and w
 
 
 === Cross Entropy Loss
+#todo[Maybe remove this section]
 Cross Entropy Loss is a well established loss function in machine learning.
 Equation~\eqref{eq:crelformal}\cite{crossentropy} shows the formal general definition of the Cross Entropy Loss.
 And equation~\eqref{eq:crelbinary} is the special case of the general Cross Entropy Loss for binary classification tasks.
@@ -234,7 +235,9 @@ $
 
 Equation~$cal(L)(p,q)$~\eqref{eq:crelbinarybatch}\cite{handsonaiI} is the Binary Cross Entropy Loss for a batch of size $cal(B)$ and used for model training in this Practical Work.
 
-=== Mathematical modeling of problem
+=== Cosine Similarity
+
+=== Euclidean Distance
 
 == Alternative Methods