The convolution neural network process

I want to provide you with an end-to-end look at what we will be doing in the code for the rest of this chapter. Remember that we are building a convolutional neural network (CNN) that examines objects in a video frame and outputs if one or more toys are in the image, and where they are:

 

Here is an overview of the process:

  1. Prepare a training set of images of the room with and without toys.
  2. Label the area of the images that contain toys – in a separate folder.
  3. Label images that don't contain toys – in a separate folder.
  4. Break the training set into two parts: a set we use to train the network, and a set ...

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