Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
towards negative x-axis but the gradient is positive. So, always the negative of the Gradient shows the directions along which the weights should be moved in order to optimize the loss function. So, this way the gradient guides the model whether to increase or decrease weights in order to optimize