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CV: Deep Learning — all 13 problems
Neural network fundamentals, backpropagation, CNNs, and modern architectures.
Backpropagation
ReLU Derivative
Easy
MSE Loss Gradient
Easy
Chain Rule Application
Medium
Softmax Cross-Entropy Gradient
Medium
CNNs
Conv2D Output Size
Easy
Max Pooling
Easy
Flatten Feature Map
Easy
Depthwise Separable Convolution
Medium
Implement Max Pooling with Indices
Hard
Neural Networks
ReLU Activation
Easy
Softmax
Medium
Dense Layer Forward
Medium
Batch Normalization Forward Pass
Hard