Question

What layer is not fixed?

Answer 1

Hayy mate here your answer ✔️ ✔️ _____________________________ From what I understand about convolutional neural networks.. Through a training process, convolutional filters start with random values that find random small/basic features. This result is pooled and then consumed by the next layer which finds combinations of these features. The process repeats, each time building a more complex feature representation of the original image. Then using back-propagation the filters are adjusted in a way that reduces error and steps closer towards the predictive goal. _____________________________  ❤️⭐u I hope you mark as brainlist answer⭐❤️✨✨