Algorithmic Problems & Neural Networks in Python

This course can be delivered immediately. It covers the basic concepts of algorithmic problems and focuses on backtracking, recursion, and dynamic programming. File size: 826.48MB

Algorithmic Problems & Neural Networks in Python

What you will learn

    Understand backtracking
Understanding dynamic programming
Problems solved from scratch
From scratch, create feedforward neural network designs

Requirements

    Basic Python

Description

This course focuses on the basic concepts of algorithmic problems. It focuses on backtracking, recursion and dynamic programming. These techniques are important because algorithms can be used and have many applications. in Many fields, from software engineering to investment banking and R&D.

Section 1:

What is recursion?

Stack memory and recursion

factorial numbers problem

Fibonacci numbers

Towers of Hanoi Problem

recursion vs iteration

Get your instant download Algorithmic Problems & Neural Networks in Python

Section 2

What is backtracking?

n-queens problem

Hamiltonian cycle problem

Knight’s Tour Problem

Color problem

NP-complete problems

Section 3

What is dynamic programming?

Fibonacci numbers

knapsack problem

Coin change problem

Problem with rod cutting

Each section will cover the theoretical background behind all these algorithms. Next, we’ll implement these problems one-by-one.

This is the first chapter on recursion. It is crucial that computer scientists understand recursion. Why stack memory is so important in recursion? We will discuss several problems related to recursion such as Fibonacci numbers or factorial problem. The second chapter will be about backtracking. We’ll discuss problems like n-queens or hamiltonian cycle and coloring problem. The final chapter will discuss dynamic programming. First, we will look at the theory and then go through the concrete examples: Fibonacci sequence problems and knapsack issues.

We are grateful that you have signed up for the course. Let’s get started!
This course is designed for the following:

This course is intended for people who are new to algorithmic problems. in Students looking to refresh their knowledge or the main.

 Here’s what you’ll get in Algorithmic Problems & Neural Networks in Python