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Deep Learning Projects - Handwritten Digit Recognition Using Neural Network
One Education

Accredited by CPD QS | Interactive Lessons | Tutor Support included | Special Discount Price

Summary

Price
£19 inc VAT
Study method
Online
Duration
1 hour · Self-paced
Access to content
12 months
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Certificate of completion - £9
  • Certificate of completion - £15
Additional info
  • Tutor is available to students

AI overview

AI generated content may contain mistakes

This course teaches you how to build a neural network for recognizing handwritten digits using Google Collab. You'll learn to preprocess data, create and train a neural network, and even build a convolutional neural network for advanced recognition tasks.

What you'll learn
  • Understand deep learning and neural network principles
  • Use Google Collab to preprocess data for deep learning
  • Create and train a neural network to recognize handwritten digits
  • Build a convolutional neural network for advanced recognition tasks
Who the course is for
  • Data analysts who want to expand their skills in deep learning and neural networks
  • Programmers who want to learn how to build their own neural network models for advanced recognition tasks
  • Entrepreneurs who want to develop their own deep learning-based applications
  • Students who want to enhance their skills in deep learning and prepare for a career in the field
  • Anyone who wants to explore the world of deep learning and neural networks
Key features
  • suitable for learners wanting flexibility
Skills & outcomes
  • This is a skills-based course designed to build practical knowledge in deep learning and neural networks, with no formal qualification
  • The skills covered could be beneficial for roles such as Data Analyst, Machine Learning Engineer, Software Engineer, Technical Lead, and Chief Technology Officer

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Overview

Our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course teaches you how to build a neural network for digit recognition. Using Google Collab, you'll learn to import and preprocess data, create and train a neural network, and even build a convolutional neural network for advanced tasks.

Learning Outcomes:

  • Understand deep learning and neural network principles
  • Use Google Collab to preprocess data for deep learning
  • Create and train a neural network to recognize handwritten digits
  • Build a convolutional neural network for advanced recognition tasks

Certificates

Certificate of completion

Digital certificate - £9

You can apply for a CPD Accredited PDF Certificate at the cost of £9.

Certificate of completion

Hard copy certificate - £15

Hard copy can be sent to you via post at the expense of £15.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course provides you with the tools to build a neural network for recognizing handwritten digits. Using Google Collab, you'll learn how to import and preprocess data, create and train a neural network, and evaluate its performance. Additionally, you'll explore creating a convolutional neural network (CNN) model for advanced recognition tasks.

Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum

  • Module 01: Introduction to Project
  • Module 02: Google Collab
  • Module 03: Importing Packages and Data
  • Module 04: Preprocessing and Model Creation
  • Module 05: Training the Model and Prediction
  • Module 06: Model Creation using CNN
  • Module 07: CNN Model Prediction

Course Assessment

After completing each online module, you'll gain access to a custom-designed multiple-choice test, with a passing score set at 60%.

Exam & Retakes

  • The initial exam is free of charge. If a retake is necessary, a small fee of £9.99 will apply.

Certification

  • After successfully passing the assessment, learners can obtain a certificate for £9 (PDF) or £15 (Hardcopy, UK delivery included). An additional £10 postal charge applies for international delivery.

Who is this course for?

  • Data analysts who want to expand their skills in deep learning and neural networks.
  • Programmers who want to learn how to build their own neural network models for advanced recognition tasks.
  • Entrepreneurs who want to develop their own deep learning-based applications.
  • Students who want to enhance their skills in deep learning and prepare for a career in the field.
  • Anyone who wants to explore the world of deep learning and neural networks.

Career path

  • Data Analyst: £24,000 - £45,000
  • Machine Learning Engineer: £28,000 - £65,000
  • Software Engineer: £28,000 - £60,000
  • Technical Lead: £40,000 - £90,000
  • Chief Technology Officer: £90,000 - £250,000

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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