Data Science and Machine Learning (Theory and Projects) A to Z - Deep Learning Overview: Introduction to Convolutional N

This video introduces convolutional neural networks (CNNs), explaining their architecture and how they excel in image data processing. CNNs automatically learn features from raw data, eliminating the need for hand-engineered features. The video discusses the advantages of CNNs in feature extraction and end-to-end learning, highlighting their applications in images and videos. It also previews recurrent neural networks (RNNs) for sequence data.

What are some examples of hand-engineered features mentioned in the text?

How do convolutional neural networks learn features automatically?

What are the two main components of a convolutional neural network?