



Can you visualize the decision boundary of a perceptron in low-dimensional space? How can you visualize the weights of a perceptron?
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what is perceptron Informational
- How is the error calculated in Adaline? How are the weights updated in Adaline using gradient descent?
- Give examples of problems that are linearly separable.
- What are convolutional filters, and how do they extract features from images in CNNs? What are the different types of recurrent layers used in RNNs (e.g., simple RNN, LSTM, GRU)?
- What is the cross-entropy loss?
- What is the role of mutual information in feature selection for perceptron models?
- What are some challenges in training perceptrons and MLPs (e.g., local minima)?
- What is the XOR problem, and why is it difficult for a single-layer perceptron?
- What are Gaussian processes, and how do they compare to perceptron-based models for regression and classification?
- What are some variations of the ReLU activation function (e.g., Leaky ReLU, Parametric ReLU)?
- How can perceptrons be used in natural language processing (NLP)? How can perceptrons be used in computer vision tasks?
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