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what is perceptron Informational
- Does the initialization of weights affect the training process? What are some strategies for weight initialization?
- How can we prepare for and mitigate the potential risks associated with increasingly powerful AI technologies?
- What are the layers in an MLP (input, hidden, output)? What is the purpose of hidden layers in an MLP?
- What are the benefits of using Adam optimizer?
- What are the characteristics of a good activation function?
- Under what conditions is a single-layer perceptron guaranteed to converge? What happens if the data is not linearly separable when training a single-layer perceptron?
- What is neuromorphic computing, and how are perceptron-like models used in this field?
- Give examples of problems that are linearly separable.
- What is the effect of a very small or very large learning rate?
- What are generative adversarial networks (GANs), and how do they relate to the fundamental principles of perceptrons? What are reinforcement learning algorithms, and are they related to perceptrons?
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