Practical Convolutional Neural Networks

Building, training, and evaluating our first CNN

In the next section, we will look at how to classify and distinguish between dogs from cats based on their raw images. We will also look at how to implement our first CNN model to deal with the raw and color image having three channels. This network design and implementation are not straightforward; TensorFlow low-level APIs will be used for this. However, do not worry; later in this chapter, we will see another example of implementing a CNN using TensorFlow's high-level contrib API. Before we formally start, a short description of the dataset is a mandate.