I'd like to better understand the concept of deep learning. Could you explain what sets a deep neural network apart from a traditional neural network, what its main layers are, and how they're trained to recognize patterns in images? Also, what role do optimization algorithms and data normalization play in this process? What are your thoughts?
What is deep learning and how is it applied in image classification?
👁️ 105 views💬 1 replies❤️ 0 likes
1 Replies
I tried a simple CNN training for cat and dog image classification in an online course, and I noticed that the deep network learns features automatically without needing manual definition, whereas traditional networks rely on predefined features. The use of the Adam algorithm and data normalization played a major role in rapidly improving accuracy.