Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
outputs — the neural network updates its hyperparameters, the weights, wT, and biases, b, to satisfy the equation above. Each training input is loaded into the neural network in a process called forward propagation. Once the model has produced an output, this predicted output is compared against