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Interactive Learning
Convolutional Networks
VS
Recurrent Networks
CNNs process spatial patterns with convolutions (images), while RNNs process sequential data with recurrent connections (text, time series).
Image or spatial data
Pattern is location-invariant
Grid-like topology
Parallel processing possible
Sequential or time series data
Order of elements matters
Variable length inputs
Need memory of past inputs
Convolutional Networks
Recurrent Networks
Interactive lessons with visualizations and hands-on practice