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Deep Learning and Neural Networks: How They Work

Deep Learning is a branch of ML that uses artificial neural networks inspired by the human brain. These networks consist of multiple layers that process data in a hierarchical way.

Convolutional Neural Networks (CNNs): Used in image recognition and computer vision.
Recurrent Neural Networks (RNNs): Designed for sequential data like speech and text.
Transformers (e.g., GPT): Revolutionized natural language processing by enabling AI to generate human-like text.
Deep Learning is behind voice assistants, facial recognition, and generative AI models.

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Introduction to AI and Machine Learning
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AI Applications in Various Fields

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