Deep Learning: Transforming AI with Neural Networks

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This presentation provides an overview of neural networks, covering their definition, evolution, and significance in AI. It explores key architectures like CNNs, RNNs, and Transformers, training methodologies, and challenges. Applications across sectors such as healthcare and autonomous vehicles are highlighted, along with ethical considerations like AI bias and transparency. The session concludes by discussing the future of deep learning and invites audience engagement.