This is an introduction to the essentials of artificial intelligence, specifically tailored for those new to the field or looking to update their skills. This program will cover the core concepts of deep learning, focusing primarily on classification tasks and Convolutional Neural Networks (CNNs), essential for applications in image processing and computer vision. Mentee(s) will also gain insight into Generative Adversarial Networks (GANs), showcasing the creative capabilities of neural networks. Whether you're a student, professional, or enthusiast, this session will equip you with a solid foundation in the basics of deep learning and its practical applications. We will have hands-on exercises preliminary using PyTorch. 

I am looking for
A Mentee
Preferred Attributes

The mentee(s) is expected to have basic Python programming skills. 

A basic level of machine learning is preferred. 

An interest in Deep Learning and Generative AI. 

 

ai
computer-vision
generative-ai
supervised-learning
deep-learning
machine-learning
neural-networks
image-processing
opencv
pytorch
data-science
cuda
programming
python
scikit-learn
Mentor
Mohsen Ahmadkhani
Mentee
Oluwatumininu Oguntola
CCMNet Leadership Team Liaison
Kevin Brandt
Interested People
Oluwatumininu Oguntola
Feseha Abebe-Akele
Notes
The mentee is required to have a PC.
State
In Progress
Description
Introduction to the mathematical concepts and formulations.
Estimated Completion Date
Description
1. Implementation of the first image classification DL model from scratch.
2. Implement and optimize the first image semantic segmentation DL model.
Description
Implement the first Generative Adversarial Network (GAN) to generate realistic fake images.
Estimated Completion Date
11/12/2024
Estimated Completion Date