In this chapter, we've built our first neural network and trained it to recognize iris flowers. While this sample is really basic, it shows how to use CNTK to build and train neural networks.
We've seen how to use the layer library in CNTK to our advantage to quickly define the structure for our neural network. In this chapter, we've talked about a few basic building blocks, such as the Dense layer and the Sequential layer, to chain several other layers together. In the coming chapters, we will learn other layer functions to build other types of neural networks such as convolutional networks.
In this chapter, we've also discussed how to use learner and trainer to build a basic algorithm to train our neural network. We've used the train_minibatch method, together with a basic loop, to construct our own training process. This is a pretty simple...