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In an era where artificial intelligence and machine learning are transforming industries and shaping the future, it's essential to understand the foundational technology behind these innovations: deep learning. At the heart of deep learning are neural networks, computational models inspired by the human brain. In this explainer, we'll unravel the magic behind neural networks and explore how they make incredible feats of AI possible.What is Deep Learning?Deep learning is a subfield of machine learning, which, in turn, is a branch of artificial intelligence. What sets deep learning apart is its use of artificial neural networks, designed to mimic the way the human brain processes information. These neural networks consist of interconnected nodes or "neurons," organized in layers.The Building Blocks: NeuronsAt the core of a neural network are its neurons. Each neuron receives inputs, processes them, and produces an output. These outputs are then passed to other neurons, creating a complex web of interconnected processing units.Layers of Learning: Deep Neural NetworksNeural networks are typically organized into layers: an input layer, one or more hidden layers, and an output layer. The input layer receives data, the hidden layers process it, and the output layer produces the network's final result. The "deep" in deep learning refers to networks with multiple hidden layers.

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Deep learning explained: Unraveling the magic behind neural networks - Times of India