Badge earner has the knowledge on differentiating between perceptrons and sigmold neurons, describing the three types of layers of a neural network, identifying the purpose of weights, recognizing the steps for initializing a neural network, explaining how back propagation improves accuracy, evaluating the effectiveness of supervised and unsupervised learning methods in a given situation.

• Type Learning
• Level Foundational
• Time Hours
• Cost Free