8.5 - Types of Deep Learning Architectures
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Practice Questions
Test your understanding with targeted questions
What is a CNN designed for?
💡 Hint: Think about what kinds of data involve pixels.
Give a main application of RNNs.
💡 Hint: Consider examples like predicting the next word in a sentence.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of data do Convolutional Neural Networks (CNNs) primarily work with?
💡 Hint: Think of applications involving pixels.
True or False: Autoencoders are primarily used for supervised learning.
💡 Hint: Consider what type of labeling is needed for training.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a dataset of images, which deep learning architecture would you choose for classification tasks? Justify your choice.
💡 Hint: Think about what type of patterns CNNs are adept at recognizing.
Explain how training a GAN differs from training a traditional neural network.
💡 Hint: Consider the interaction between the networks for learning.
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