hasna-akbarali / DL

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Deep Learning Basics

This repository provides a beginner-friendly introduction to the fundamentals of deep learning. Whether you're new to the field or looking to refresh your knowledge, this guide aims to cover the essential concepts and tools used in deep learning.

Table of Contents

  1. Introduction to Deep Learning
  2. Prerequisites
  3. Installation
  4. Getting Started
  5. Key Concepts

Introduction to Deep Learning

Deep learning is a subfield of machine learning that focuses on neural networks with multiple layers, known as deep neural networks. It has shown remarkable success in various applications, including image and speech recognition, natural language processing, and more.

Prerequisites

Before diving into deep learning, ensure you have a basic understanding of the following:

  • Python programming language
  • Fundamentals of machine learning

Installation

To get started with deep learning, you'll need to install the necessary libraries. Use the following command to install them using pip:

pip install tensorflow numpy matplotlib

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