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Interview problems
Mid-level Problems
Practice, get feedback, sharpen your answers, and land your dream role
SUBJECTIVE
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INTERMEDIATE
Comparison between RNNs, LSTMs and Transformers
Practice
SUBJECTIVE
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INTERMEDIATE
Transformer Architecture Theory
Practice
CODE
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INTERMEDIATE
Implement a Convolutional Layer for Image Processing
Practice
SUBJECTIVE
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INTERMEDIATE
Effect of Learning Rate in training
Practice
SUBJECTIVE
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INTERMEDIATE
What is regularization ?
Practice
SUBJECTIVE
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INTERMEDIATE
Recent advances in Dropout
Practice
CODE
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INTERMEDIATE
Implementing Stochastic Gradient Descent (SGD)
Practice
SUBJECTIVE
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INTERMEDIATE
Vision Transformers: Understanding the Fundamentals
Practice
SUBJECTIVE
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INTERMEDIATE
Exploring Stable Diffusion: Text-to-Image Generation
Practice
SUBJECTIVE
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INTERMEDIATE
Impact of batch size in training
Practice
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Beginner
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Senior
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