Solutions for Deep Neural Networks course at University of Warsaw, 2021.
Each jupyter notebook corresponds to different homework. Every homework received the maximum number of points.
-
Verifying impact of data noise level with simple MLP architecture for MNIST dataset - code
-
Object detection using anchor-based approach. Model's architecture is the variant of
RetinaNET. Dataset consisted of images with MNIST digits (1-5), randomly flipped by 90 degrees - code -
LSTM Sentiment Tagger for imdb reviews dataset - code
-
Implementation of DDPG for solving 3 different environments: Pendulum-v1, LunarLanderContinuous-v2, MountainCarContinuous-v0 - code