Answer / Vineet Kumar Singh

RNN (Recurrent Neural Networks) are a type of artificial neural network that can process sequential data, such as time series or natural language. They use recurrent connections between hidden layers to capture the temporal dependencies in the input data.

Applications of Convolutional Neural Networks (CNN) include:

1. Image Classification: Identifying objects within images by learning spatial hierarchies of features.

2. Object Detection: Detecting specific objects within an image and localizing their bounding boxes.

3. Segmentation: Separating different regions within an image based on semantic or pixel-wise properties.

4. Speech Recognition: Transcribing speech to text by analyzing the spectral features of the audio signal.

5. Text Generation: Generating human-like language in various tasks, such as machine translation, summarization, and creative writing.

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