Neural Networks, Machine Learning, Deep Learning, Computer Vision, Data Science.
= weights + (desired_output[idx] — predicted)*inputs[idx] Let us see the effect of removing the learning rate. In the iteration of the training loop, the network has the following inputs (b=0.05 and W=0.1, Input = 60, and desired output=60). The expected output which is the result of the activation