Deep Learning and Reinforcement Learning Lab BAI701

Design and implement a neural based network for generating word embedding for words in a document corpus.

Write a program to demonstrate the working of a deep neural network for classification task.

Desing and implement a Convolutional Neural Network(CNN) for classification of image dataset.

Build and demonstrate an autoencoder network using neural layers for data compression on image dataset.

Desing and implement a deep learning network for classification of textual documents.

Design and implement a deep learning network for forecasting time series data.

Write a program to enable pre-train models to classify a given image dataset.

Simple Grid World Problem: Design a custom 2D grid world where the agent navigates from a start position to a goal, avoiding obstacles. Environment: Custom grid (easily implemented in Python)