Seasons Of Code

Meta Learning - Learning to Learn    • Akshat Gupta, Tanay Sharma, Liza Dahiya   

WnCC - Seasons of Code

Seasons of Code is a programme launched by WnCC along the lines of the Google Summer of Code. It provides one with an opprtunity to learn and participate in a variety of interesting projects under the mentorship of the very best in our institute.


List of Running Projects

Meta Learning - Learning to Learn

Meta Learning - Learning to Learn


The Input to this application will be “your daily class lectures” and the expected output is a brief but detailed summary of the entire lecture.

No. of mentees: 6

Meta Learning is a recent advancement in the field of machine learning where we increase a level of abstraction and start 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻. This helps us train neural networks with almost no data. In this project you shall first learn about the principles and applications of machine learning. Thereafter you shall understand the fundamentals of meta learning, i.e learning to learn. You will finally build a Few Shot image recognition network

Preferred Skills : Inclination to Statistics, enthusiasm to learn The proposal must contain your skills and describe incidents which showcase your analytical skills.

References: https://data-notes.co/meta-learning-is-all-you-need-3bd0bafdf289 https://towardsdatascience.com/machine-learning-basics-part-1-a36d38c7916?gi=bf37f27f36b2

Tentative Project Timeline

Week Number Tasks to be Completed
Week 1 Python and Basics of Machine Learning
Week 2 Learn deep learning frameworks
Week 3 Meta Learning and Implement Few Shot Image Classification and Image Recognition Network
Week 4 Read up the paper Model Agnostic Meta Learning and Implement it
Week 5 Complete and Document Everything