Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

This repository implements and analyzes three core deep learning families — Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Pixel Recurrent Neural Networks (PixelRNNs) — across image classification, text generation, and autoregressive image modeling tasks.

This contains assignments from my deep learning course, featuring projects on Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), Transformers, Autoencoders, Autoregressive Models (PixelCNN), and Few-Shot Learning with Prototypical Networks, with code implementations and analysis included.