Question

Innovative Labs, a startup focused on developing intelligent language models, is training a neural network to improve its text prediction accuracy. During the training process, the team uses the practice of fine-tuning the weighting of the neural network based on the error rate (loss) obtained in the previous iteration to minimize error. This practice is known as _ _ _ _ _ _ _ _ _ _ _ _ _ .

• A. Forward Propagation
• B. Activation Function
• C. Back Propagation
• D. Deep Learning

Hint:

Backpropagation helps neural networks learn by minimizing error through weight adjustment.

Answer 1

The Correct Option is C

Step 1: Understanding the process.
The question describes adjusting weights of a neural network based on the error (loss) from previous output.

Step 2: Key concept.
Backpropagation is the algorithm used to update weights by propagating the error backward through the network to minimize loss.

Step 3: Evaluating options.
• (A): Forward propagation computes output, not error correction.
• (B): Activation function decides neuron output.
• (C): Correct. Backpropagation updates weights using error.
• (D): Deep learning is a broader concept.
Step 4: Conclusion.
Thus, the process is Back Propagation.
Final Answer: Back Propagation.