Repository for programming assignments of CS231n: Convolutional Neural Networks for Visual Recognition (Winter 2016).

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Contents

Assignment1

• Q1: k-Nearest Neighbor classifier (20 points)
• Q2: Training a Support Vector Machine (25 points)
• Q3: Implement a Softmax classifier (20 points)
• Q4: Two-Layer Neural Network (25 points)
• Q5: Higher Level Representations: Image Features (10 points)

Assignment2

• Q1: Fully-connected Neural Network (30 points)
• Q2: Batch Normalization (30 points)
• Q3: Dropout (10 points)
• Q4: ConvNet on CIFAR-10 (30 points)

Assignment3

• Q1: Image Captioning with Vanilla RNNs (40 points)
• Q2: Image Captioning with LSTMs (35 points)
• Q3: Image Gradients: Saliency maps and Fooling Images (10 points)
• Q4: Image Generation: Classes, Inversion, DeepDream (15 points)

Link

• Course Home
• Syllabus
• Lecture Note