neural network (CNN

[houstonTaleubou]

What is the difference between a convolutional neural network (CNN) and a recurrent neural network (RNN)?

[TatyOko28]

CNN (Convolutional Neural Network):

Best for image-related tasks.
Uses convolutional layers to detect spatial hierarchies (edges, textures, shapes).
Commonly used in image classification, object detection, facial recognition.
Example models: ResNet, VGG, EfficientNet.
RNN (Recurrent Neural Network):

Best for sequence-based data (time series, text, speech).
Uses recurrent connections to remember past inputs.
Commonly used in language modeling, speech recognition, stock price prediction.
Variants: LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit).
Example Use Cases:

CNN → Detecting objects in an image.
RNN → Predicting the next word in a sentence.