Into the heart of Multi-Layer Perceptron Neural Networks (Part-2)Previously, in Part - 1, we completed a forward pass through one neuron and computed the output value. $$\hat{Y} = tanh(w_1x_1 + w_2x_2 + b)$$Now, we will calculate the gradients of parameters [w1, w2, b] using backpropagation. What is Backpropagatio...Mar 18, 2023 · 5 min readjoykrishan.hashnode.dev
Into the heart of Multi-Layer Perceptron Neural Networks (Part-1)Neural Networks (NNs) are the heart and soul of today's many active research topics to automate routine tasks, understand all forms of multimedia and make diagnoses. Nowadays, many libraries like PyTorch, TensorFlow, Keras, and Caffe make implementat...1AFeb 18, 2023 · 3 min readjoykrishan.hashnode.dev
