Artificial Intelligence Assignments (Supporting Repository)

The content is part of two active classes at UTK (previously University of Memphis) and is not publicly available.

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Setup:

1. Demo Assignment
2. Colab + Numpy Basics

ML Assignments list:

1. ML Basics
2. Linear Models
3. Non Linear Models
4. Convolutional Neural Networks
5. Autoencoder and Variational AutoEncoder
6. Stochastic Gradient Descent
7. Long Short Term Memory
8. Transformers (BERT fine-tuning)

RL Assignment list:

1. RL Basics
2. Markov Decision Process
3. Markov Decision Process with Value Iteration
4. Q-Learning
5. Deep Q Networks
6. Behavioral Cloning
7. Proximal Policy Optimization
8. Exploration Strategies

Repo also contains:

• Images/ GIF/ Videos
• Datasets
• Trained Models
• Code modules

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History

• University of Memphis: Spring 2022: COMP/EECE 4720/6720