Backward propagation

Understanding the inner workings of Artificial Neural Network (NN) is crucial for anyone delving into the field of deep learning. This post will explore forward propagation, backward propagation, the critical role of weights and biases, and positive vs negative gradients. Using Python libraries like PyTorch or TensorFlow makes building a neural network architecture seem straightforward—until … Read more about “Build Neural Network : Feedforward and Backpropagation with NumPy”