Question

In context of Neural Networks, the process in which input data flows through the layers, activations are computed, and the predicted output is compared to the actual target is specifically known as _ _ _ _ _ _ _ _ _ _ _ _ _ .

• A. Back Propagation
• B. Deep Learning
• C. Forward Propagation
• D. Optimization

Hint:

Forward propagation computes outputs, while \textbfbackpropagation updates weights using errors.

Answer 1

The Correct Option is C

Step 1: Understanding neural network flow.
The question describes the process where input passes through layers, activations are calculated, and output is generated.

Step 2: Differentiating processes.
• (A) Back Propagation: Used to update weights based on error. • (B) Deep Learning: A broader concept, not a specific step. • (C) Forward Propagation: Correct. Input flows forward through the network to produce output. • (D) Optimization: Refers to improving model parameters.
Step 3: Conclusion.
Thus, the described process is Forward Propagation.
Final Answer: Forward Propagation.