256&nbsp;×&nbsp;8&nbsp;×&nbsp;8 decimal numbers that represents the total learned so far about the position. Considering that each number can vary in one dimension, from very negative to very positive, the network can be considered to be thinking 16,384-dimensionally.</p>

        <figure>
            <img src="figure6.png" />
            <figcaption>Figure 6: Different convolution filters span all 256 planes of the previous layer's output and slide over the 8&nbsp;×&nbsp;8 dimensions; each filter produc