Neural Network Training

Neural network training is like teaching a computer to recognize patterns, similar to how our brains learn. It involves providing the network with lots of example data and adjusting its internal settings, called weights, to improve accuracy. The network makes a guess, compares it to the actual answer, and then updates these weights to reduce errors. This process repeats many times, gradually refining the network’s ability to make correct predictions or classifications. Essentially, training fine-tunes the system so it can recognize complex patterns and perform tasks like image recognition or language understanding effectively.