📘 Summary

Deep Learning Fundamentals and Applications explores neural networks inspired by the human brain, covering concepts like artificial neurons, backpropagation, CNNs, and RNNs. It highlights real-world applications in image recognition, speech processing, natural language understanding, healthcare diagnostics, autonomous systems, and recommendation engines, emphasizing data-driven learning and performance optimization.