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My solutions for the assignments of CS231n course(2021 Spring) of Stanford university

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Solutions for Stanford CS231n Assignments (2021Spring)

This repository contains my solutions for the assignments of CS231n course(2021 Spring) of Stanford university.

  • Assignment 1

    • Q1: k-Nearest Neighbor classifier
    • Q2: Training a Support Vector Machine
    • Q3: Implement a Softmax classifier
    • Q4: Two-Layer Neural Network
    • Q5: Higher Level Representations: Image Features
  • Assignment 2

    • Q1: Multi-Layer Fully Connected Neural Networks
    • Q2: Batch Normalization
    • Q3: Dropout
    • Q4: Convolutional Neural Networks
    • Q5: PyTorch/TensorFlow on CIFAR-10 (For Q5, I implemented Pytorch.ipynb.)
  • Assignment 3

    • Q1: Image Captioning with Vanilla RNNs
    • Q2: Image Captioning with Transformers
    • Q3: Network Visualization: Saliency Maps, Class Visualization, and Fooling Images
    • Q4: Generative Adversarial Networks
    • Q5: Self-Supervised Learning for Image Classification
    • Extra Credit: Image Captioning with LSTMs

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My solutions for the assignments of CS231n course(2021 Spring) of Stanford university

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