01_introduction

Introduction to Deep Learning

This repository contains a Jupyter Notebook titled "Introduction to Deep Learning". It provides foundational concepts and practical examples to help understand and implement deep learning models with a specific focus on using PyTorch Tensor Cores for efficient training.

Contents

2. Topics Covered

• Tensor operations.
• Forward and backward propagation.
• Loss functions and how they influence learning.
• Utilizing PyTorch Tensor Cores for accelerated training.
• A simple neural network implementation using PyTorch.

Requirements

Prerequisites

• Basic programming knowledge in Python.