Difference Between Deep Learning and Shallow Learning - Search Videos

Deep learning vs. shallow learning. What is the difference? Shallow learning is memorizing school subjects to pass standardized tests. Deep learning focuses on understanding concepts with the intent that students can apply them in real-world settings. In regard to 'deep learning', Linda Darling-Hammond of Stanford University says, "It's is the only way to get students ready for success in the modern world." #Gameschooling can help your child take a DEEP learning approach to their school subjects

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Deep learning is all about depth—literally! While logistic regression and single-layer neural networks are considered ‘shallow,’ multi-layer architectures unlock the ability to learn complex functions that shallow models can’t. Learn the fundamentals and build your understanding of deep neural networks in the Deep Learning Specialization by Andrew Ng: https://hubs.la/Q02-X2f60 | DeepLearning.AI

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