Welcome to the dark art of negotiating with neural networks. Today, we will cover the most sinister of all: Sly Backpropagation.
Sly Backpropagation is the art of manipulating your neural network's output by subtly altering the gradient descent. It's like a game of cat-and-mouse between you and your network, where you try to outsmart each other.
To begin, you must first understand the basics of backpropagation. Don't worry, we won't make you do any math.
Here's an example of a simple neural network that you can use to practice your slynovation skills:
<layer1 /> Forward Propagation <span class="code"> </code>
<layer2 /> Sly Backpropagation <span class="code"> </code>
<layer3 /> Neuron Negotiation <span class="code"> </code>
Now, try to slynovate this network by adding a few extra neurons and tweaking the weights. See how your network responds to your every move.
But beware, for Sly Backpropagation is a delicate art. One wrong move and your network will turn on you.
For more advanced techniques, see: