My Coding Blog

  Course 1:   Neural Networks and Deep Learning Week 4:  Deep Neural Network Key Concepts See deep neural networks as successive blocks put one after each other Build and train a deep L-layer Neural Network Analyze matrix and vector dimensions to check neural network implementations. Understand how to use a cache to pass information from forward propagation to back propagation. Understand the role of hyperparameters in deep learning Part 1 : Deep L-layer neural network It shows the different layers which will be used. Part 2 : Forward Propagation in a Deep Network So, seems that there is a For loop here. I know that when implementing neural networks, we usually want to get rid of explicit For loops. But this is one place where I don't think there's any way to implement this without an explicit For loop. So when implementing forward propagation, it is perfectly okay to have a For loop to compute the activations for layer one, then layer two, then layer three, then layer four. No