Chapter 4, Object Recognition Using Neural Networks and Supervised Learning

1. This is an exercise for the student. You should see different curves develop as the activation function is changed. Some will not produce an answer at all (which look like random results – the curve stays at the same level as no learning is taking place). Some will learn faster or slower.
2. Refer to Figure 3 in the chapter. The artificial neuron has a number of inputs, a set of weights, one for each input, a bias, an activation, and a set of outputs.
3. Both have multiple inputs and multiple outputs, and accept inputs, perform some processing, and then make an output. Both use some sort of activation to determine when to “fire” or produce an output.

4. The natural neuron is an analog device that can handle many levels or degrees of inputs, with no simple on/off binary representations like...