My journey of pursuing Deeplearning.ai Course @Coursera - Course 1, Week 4
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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