Explain the basic steps of backpropagation in a neural network?
How would you outline the backpropagation algorithm in the context of neural networks?
Could you explain the essential phases of backpropagation used in neural network training?
What are the key steps in the backpropagation technique for neural networks?
Can you detail the sequential process of backpropagation in neural networks?
How does the backpropagation method function step-by-step in neural network optimization?
What constitutes the primary stages of backpropagation in a neural network's learning process?
Can you walk through the basic procedural steps of backpropagation in neural networks?
How would you summarize the basic actions taken during backpropagation in a neural network model?
Can you describe the fundamental steps involved in the backpropagation process within neural networks?