The drawing classification model built into the TensorFlow tutorial (https://www.tensorflow.org/tutorials/recurrent_quickdraw) first takes the user drawing input represented as a list of points and converts the normalized input to a tensor of the deltas of consecutive points along with information about whether each point is the beginning of a new stroke. Then it passes the tensor through several convolutional layers and LSTM layers, and finally a softmax layer, as shown in Figure 7.1, to classify the user drawing:
Figure 7.1: The drawing classification mode
Unlike the 2D convolution API tf.layers.conv2d ...
