#CurrencyPairPrediction How a Deep Learning Model is Trained (Forex Example) Step Explanation Forward Propagation Data passes through the neural network, producing a prediction (e.g., “up” or “down”). Loss Calculation Model’s prediction is compared to actual result (e.g., “it went up”), using a loss function (like cross-entropy). Backpropagation The model adjusts its internal weights to minimize the error. Optimization An algorithm (like Adam or SGD) updates the weights to make the model better at predicting. Epochs This process repeats over thousands of examples until the model improves.