Deep Learning Study Group #10 

We are excited to announce that the Deep Learning Study Group is back for its 10th batch! Our community creates and curates materials to help you dive into Deep Learning, explore cutting-edge AI concepts, and gain hands-on experience.

This 3-month online program is designed for anyone looking to deepen their expertise in Deep Learning while connecting and collaborating with like-minded learners.

SCHEDULE

Starting January 24, we'll meet online every Saturday at 10:00 AM for 11 guided learning sessions. Throughout the program, you'll complete 5 hands-on notebooks, 3 homework assignments, and culminate with a Kaggle challenge as your final project.

  • Saturday sessions: 10:00 AM (main learning sessions)

  • Notebook sessions: Wednesdays at 8:00 PM (5 sessions total)

Attendance is mandatory. Please review the dates carefully before applying and ensure you can fully commit to this program.

Note: BEV Foundation (inzva) reserves the right to change or modify any of the conduct, design, and rules of the program at any time and in their sole discretion.

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APPLICATION PERIOD

  • December 21, until 23.59

  • First stage results will be announced on December 27, until 23.59. 

  • Interview period: December 27 - January 10

  • Final results will be announced via mail on January 17, until 23.59

OUR GUIDES & CONTRIBUTORS

Our guides and contributors are all proud graduates of the Deep Learning Study Group. This year, in the leadership of our AI Team member Sarper Yurtseven, they have given back their knowledge with a shared mission to enhance this study group. Arya Zeynep Mete, Berfin Duman, Berkin Deniz Kahya, Beyza Nur Deniz, Celaleddin Ömer Sağlam, Ece İldem, Gül Korkut, Gürkan Soykan, Kuzey Torlak, Melih Darcan, Sefa Kurtipek, Simge Şenyüz, Tarık Can Özden, and Zeynep Abalı have put together a fresh curriculum and updated materials to make learning more engaging.


TOPICS 

Module 01: Introduction to Neural Networks and Deep Learning

  • Week 1: Introduction to Neural Networks

  • Week 2: Hyperparameter Tuning and Regularization

  • Week 3: Debugging & Optimization Algorithms

Module 02: Neural Network Architectures and Common Tasks in Deep Learning

  • Week 4-5: CNN with Common Tasks: Image Classification, Object Detection, Image        Segmentation

  • Week 6-7: Transformers with Common Tasks: Neural Machine Translation, Image Classification        

  • Week 8: GNN

Module 03: Trend Topics in Deep Learning: Generative Models and LLMs

  • Week 9: Generative Models (VAEs, Diffusion Models)

  • Week 10: Introduction to Large Language Models (LLMs)

  • Week 11: Scripting, ML Flow, Weights & Biases, Slurm, Ollama

  • Week 12: Graduation Project

    Graduation Day: April 25!

Note: BEV Foundation (inzva) reserves the right to change or modify any of the conduct, design, and rules of the program at any time and in their sole discretion.

Apply Now
Learn More About Previous Batch

OUTCOMES

  • Acquire state-of-the-art, domain-specific training.

  • Learn from experienced guides and peers in the field of computer science.

  • Join discussions about different ways to approach a problem.

  • Opportunity to meet like-minded students and professionals, through online meetings and face-to-face events.

  • Join the private communication groups for the program and become a part of inzva AI community after graduation.

EXPECTATIONS

  • Successfully answering the application form questions.

  • Consistent attendance at the weekly lectures (at least %80).

  • Studying the materials before the class, being an active listener, and attending the discussions are essential for your learning journey.

  • Being responsive to emails and announcements.

  • Completing assignments and quizzes by the deadline.

  • Attending and submitting to Kaggle challenges. 

  • Following the rules of our community.

Please note that failure to meet these requirements will result in your disqualification from the program.

TECHNICAL REQUIREMENTS

  • Programming experience: The course is taught in Python. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries).

  • Please have a Python environment (i.e., Anaconda) ready on your computer before coming to the program. You will find the instructions here.

  • Mathematics: Basic linear algebra (matrix-vector operations and notation), calculus, and probability theory. 

  • Machine Learning: Conceptual knowledge of machine learning (supervised learning, unsupervised learning, test data, validation, some machine learning algorithms such as linear regression, logistic regression).

FREQUENTLY ASKED QUESTIONS 

Please check out the Frequently Asked Questions here. 

For further questions, you can reach us at ai@inzva.com.

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All participants have to abide by our CODE OF CONDUCT  and LETTER OF CONSENT. 

A  BEV Foundation project inzva is a non-profit hacker community organizing study and project groups as well as camps in the fields of AI and Algorithm; and gathering CS students, academics, and professionals in Turkey.

All personal data you shared in this form will solely be used to determine the participants of the event and to inform the venue provider, and will be deleted as soon as we carry out our legal obligations. Therefore, by sending this form, you accept having your personal data processed and transferred to third parties that are providing services for the event (i.e. venue and transportation providers).

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