# Multi-Label-Image-Classification


# Part 1A - Pre-defined Models 
 - In the notebook introduction.ipynb I
    - Train AlexNet (PyTorch built-in) from scratch.
    - Fine-tune AlexNet (PyTorch built-in), which is pretrained on ImageNet.
    - Train a simple network (defined in classifier.py from scratch.)

# Part 1B - Self-designed Models:
 - In the notebook Develop_Classifier.ipynb, I design my own model in details to solve this multi-label classification task.


<img src="pascal_voc.png" alt="alt text" width="300" height="300">

<img src="network.PNG" alt="alt text" width="500" height="700">