Image Classification with ResNet
A comprehensive example demonstrating image classification using the ResNet architecture. Includes data loading, model training, and evaluation.
Natural Language Processing: Text Generation
Build a recurrent neural network (RNN) based model for generating text sequences, trained on a custom corpus. Explore various sampling strategies.
Reinforcement Learning: CartPole Solver
Implement a Deep Q-Network (DQN) agent to solve the classic CartPole problem from OpenAI Gym. Understand policy learning and reward maximization.
Object Detection with YOLOv5
A practical guide to setting up and training a YOLOv5 model for real-time object detection on custom datasets.
Time Series Forecasting with LSTMs
Utilize Long Short-Term Memory (LSTM) networks for forecasting future values in time series data, such as stock prices or weather patterns.
Generative Adversarial Networks (GANs) for Image Generation
Explore the principles of GANs by building a model that generates new, realistic images, such as faces or handwritten digits.