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Neural-Networks Interview Problems (35)

Practice neural-networks questions asked in data science interviews

Status Title Difficulty
Backpropagation Fundamentals Free Easy
CNN Pooling Layers Pro Easy
Cross-Entropy Loss Pro Easy
Data Augmentation Purpose Pro Easy
Perceptron Limitations Pro Easy
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Purpose of Dropout Free Easy
ReLU Activation Function Free Easy
Softmax Output Layer Pro Easy
Transfer Learning Benefit Pro Easy
Vanishing Gradient Problem Pro Easy
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Adam Optimizer Internals Pro Medium
Attention Mechanism in Seq2Seq Pro Medium
Batch Normalization Mechanism Pro Medium
Convolution Stride and Output Size Pro Medium
Early Stopping Strategy Pro Medium
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GRU vs LSTM Pro Medium
He Initialization for ReLU Pro Medium
Layer Normalization vs Batch Normalization Pro Medium
Learning Rate Warmup Pro Medium
LSTM Gating Mechanism Pro Medium
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Multi-Head Attention Pro Medium
Positional Encoding in Transformers Pro Medium
Self-Attention in Transformers Pro Medium
Skip Connections in ResNets Pro Medium
Xavier Weight Initialization Pro Medium
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