Setting initial parameters is quite important in many ML and specifically, in deep neural networks. Weights and biases are the parameters of a deep neural Network. So what is the best weight initialization strategy in Deep Convolutional Neural Notworks?
In this regards, is the unsupervised pre-training of a deep NN a better strategy to set initial weights at good locations in weight space for the supervised learning phase.