Arrange the following steps in a proper sequence for the process of training a neural network.
A. Weight initialization
B. Feed forward
C. Back Propagation
D. Loss Calculation
E. Weight Update
Choose the correct answer from the options given below:

Correct option is A

The process of training a Neural Network follows these steps:
1. Weight Initialization: Initialize the weights of the network randomly.
2. Feed Forward: The input data is passed through the network to produce an output.
3. Loss Calculation: The difference between the predicted output and the actual value is computed (e.g., using Mean Squared Error).
4. Back Propagation: The error is propagated back through the network, updating the weights.
5. Weight Update: The weights are updated based on the gradient of the error to minimize the loss function.
Information Booster:
1. Neural Network Training: The goal is to adjust the weights to minimize the error (loss) over the training data.
2. Back Propagation: This algorithm adjusts the weights in the direction that reduces the error, using the gradient descent method.
Additional Knowledge:
· Feed Forward Neural Networks: Data flows in one direction from input to output without any feedback loops.
· Loss Function: Common loss functions include Mean Squared Error (MSE) for regression tasks and Cross Entropy for classification tasks.