Deep Learning in Recommendation Systems
How CNNs and deep neural networks power modern discovery engines like Netflix, YouTube, and Pinterest.
8 docs tagged with "cnn"
View all tagsImage Classification
How to train neural networks to categorize images into predefined classes using CNNs.
Image Segmentation
Going beyond bounding boxes: How to classify every single pixel in an image.
Padding in CNNs
How padding prevents data loss at the edges and controls the output size of convolutional layers.
Pooling Layers: Downsampling
Understanding Max Pooling, Average Pooling, and how they provide spatial invariance.
Strides in CNNs
Understanding how the step size of a filter influences spatial dimensions and computational efficiency.
The Convolution Operation
Understanding kernels, filters, and how feature maps are created in Convolutional Neural Networks.
Video Recognition and Action Analysis
Exploring 3D CNNs, Optical Flow, and Temporal Modeling for analyzing moving images.