BE_PICT_SEM8

This repository contains assignments for the BE PICT COMP SEM8 course. Below is a detailed list of the assignments included in this repository.

Assignments

1. Deep Learning (DL)

• Assignment 1: Introduction to Neural Networks
  • Basic concepts of neural networks
  • Implementing simple neural networks using frameworks like TensorFlow or PyTorch
• Assignment 2: Convolutional Neural Networks (CNNs)
  • Understanding CNN architecture
  • Implementing CNNs for image classification tasks
• Assignment 3: Recurrent Neural Networks (RNNs)
  • Basics of RNNs and LSTM networks
  • Sequence prediction and language modeling
• Assignment 4: Generative Adversarial Networks (GANs)
  • Concepts of GANs
  • Implementing GANs for image generation

2. High Performance Computing (HPC)

• Assignment 1: Introduction to Parallel Computing
  • Basics of parallel computing
  • Writing simple parallel programs using OpenMP
• Assignment 2: GPU Computing with CUDA
  • Introduction to GPU architecture
  • Writing CUDA programs for parallel processing
• Assignment 3: Message Passing Interface (MPI)
  • Concepts of MPI for distributed computing
  • Writing MPI programs for communication between multiple processors
• Assignment 4: Optimization Techniques
  • Performance optimization in HPC
  • Techniques for optimizing code for better performance on HPC systems

For more details, refer to each assignment folder in the repository.