Fundamentals of Neural Networks - Convolution in 2D and 3D

The video tutorial covers the fundamentals of convolutional operations, starting with 2D convolution and extending to 3D convolution for color images. It explains how to apply these operations using filters and channels, and discusses pooling techniques like max and average pooling. The tutorial also highlights applications of CNNs, such as MRI image processing, and introduces future topics like transfer learning and object detection.

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