Practical Convolutional Neural Networks

Training a CNN

In the previous section, we have seen how to construct a CNN and apply different operations on its different layers. Now when it comes to training a CNN, it is much trickier as it needs a lot of considerations to control those operations such as applying appropriate activation function, weight and bias initialization, and of course, using optimizers intelligently.

There are also some advanced considerations such as hyperparameter tuning for optimized too. However, that will be discussed in the next section. We first start our discussion with weight and bias initialization.