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Course Project - Train a Deep Learning Model from Scratch

Deep Learning with PyTorch: Zero to GANs

Submission Deadline: Jan 26, 2021 11:59 PM GMT

For the course project, you will pick a dataset of your choice and apply the concepts learned in this course to train deep learning models end-to-end with PyTorch, experimenting with different hyperparameters & metrics.

  1. Find a dataset online (see the "Where to Find Datasets" section below)
  2. Understand and describe the modeling objective clearly
    1. What type of data is it? (images, text, audio, etc.)
    2. What type of problem is it? (regression, classification, generative modeling, etc.)
  3. Clean the data if required and perform exploratory analysis (plot graphs, ask questions)
  4. Modeling
    1. Define a model (network architecture)
    2. Pick some hyperparameters
    3. Train the model
    4. Make predictions on samples
    5. Evaluate on the test dataset
    6. Save the model weights
    7. Record the metrics
    8. Try different hyperparameters & regularization
  5. Conclusions - summarize your learning & identify opportunities for future work
  6. Publish and submit your Jupyter notebook
  7. (Optional) Write a blog post to describe your experiments and summarize your work. Use Medium or Github pages.

Note: There is no starter notebook for the course project. Please use the "New Notebook" button on Jovian to create a new notebook, "Run on Colab" to execute it, and "jovian.commit" to record versions.

Example notebooks for reference:

Make a Submission

Use the following command to submit directly from the notebook
Notebook Link (Required)
Blog Link
You can submit multiple times. Only your last submission will be evaluated.

Where to Find Datasets

General sources:

Indian stocks data

Indian Air Quality Data

Indian Covid-19 Dataset

World Covid-19 Dataset

USA Covid-19 Dataset

Megapixels Dataset for Face Detection, GANs, Human Localization

Agriculture based dataset

India Digital Payments UPI

India Consumption of LPG

India Import/Export Crude OIl

US Unemployment Rate Data

India Road accident Data

Data science Jobs Data

H1-b Visa Data

Donald Trump’s Tweets

Hilary Clinton and Trump’s Tweets

Asteroid Dataset

Solar flares Data

Human face generation GANs

F-1 Race Data

Automobile Insurance



Dota 2





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