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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does LSTM stand for?
π‘ Hint: Think about memory in neural networks.
Question 2
Easy
Name one application where LSTMs are used.
π‘ Hint: Consider fields involving sequences.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of LSTM networks?
π‘ Hint: Think about their core capability.
Question 2
True or False: LSTMs are a type of Convolutional Neural Network.
π‘ Hint: Recall the categories of neural networks we've discussed.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a scenario where a neural network is tasked with generating text based on previous sentences. How would using an LSTM provide advantages over a simple RNN?
π‘ Hint: Think about the importance of remembering details in conversations.
Question 2
Design an experiment to demonstrate the impact of the vanishing gradient problem on RNN training. How would you show LSTMs mitigate this issue?
π‘ Hint: Focus on outcomes of different training strategies.
Challenge and get performance evaluation