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Project on Deep Learning – Artificial Neural Network
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Project on Deep Learning – Artificial Neural Network 
1 Digital Certificate (Preorder Special Discount) Subtotal: £33.99
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Project on Deep Learning – Artificial Neural Network
57 Students (9 Reviews)
Learn deep learning with a practical project on Artificial Neural Networks. Understand neural network architecture and real-world AI applications.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
Project on Deep Learning – Artificial Neural Network is an advanced practical course designed to help learners understand and apply deep learning concepts through project-based learning. Deep learning, a key branch of artificial intelligence, uses artificial neural networks to analyse complex patterns in large datasets. This course focuses on providing hands-on experience in building and understanding neural network models used in modern AI applications.
The programme explores the structure and functioning of artificial neural networks, including input layers, hidden layers, output layers, activation functions, and training processes. Learners will gain practical insights into how neural networks are used in applications such as image recognition, natural language processing, predictive analytics, and intelligent automation. Through guided projects and practical exercises, participants will learn how to design, train, and evaluate neural network models.
By completing this course, learners will develop a strong understanding of deep learning fundamentals and practical implementation of artificial neural networks. This knowledge supports career development in artificial intelligence, machine learning, and data science, while preparing learners for more advanced AI and deep learning projects.
Learning Outcomes
- Understand the fundamentals of deep learning
- Learn the architecture of artificial neural networks
- Explore different types of neural network models
- Understand training processes and data preparation
- Apply activation functions and optimisation techniques
- Build and evaluate simple neural network models
- Analyse patterns using deep learning algorithms
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Certificate of Achievement
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Who is this course for
This course is suitable for:
- Students studying artificial intelligence or data science
- Machine learning enthusiasts
- Software developers interested in AI
- Data analysts exploring deep learning
Entry Requirements
- Minimum age of 18 years
- Basic understanding of artificial intelligence concepts
- Interest in deep learning and neural networks
- Ability to follow technical learning materials
Career Prospects
Completing Project on Deep Learning – Artificial Neural Network can enhance employability and workplace performance. It supports career progression in roles such as:
- Machine Learning Engineer
- Data Scientist
- AI Research Assistant
- Deep Learning Engineer
- AI Software Developer
- Computer Vision Engineer
This qualification strengthens soft skills highly valued by UK employers, including adaptability, emotional intelligence, leadership potential, and stress management.
Course Curriculum
| Section 01: Introduction | |||
| Introduction of Project | 00:03:00 | ||
| Section 02: ANN Installation | |||
| Setup Environment for ANN | 00:11:00 | ||
| ANN Installation | 00:09:00 | ||
| Section 03: Data Preprocessing | |||
| Import Libraries and Data Preprocessing | 00:11:00 | ||
| Data Preprocessing | 00:07:00 | ||
| Data Preprocessing Continue | 00:10:00 | ||
| Section 04: Data Encoding | |||
| Data Exploration | 00:10:00 | ||
| Encoding | 00:07:00 | ||
| Encoding Continue | 00:06:00 | ||
| Preparation of Dataset for Training | 00:04:00 | ||
| Section 05: Steps To Build ANN | |||
| Steps to Build ANN Part 1 | 00:06:00 | ||
| Steps to Build ANN Part 2 | 00:06:00 | ||
| Steps to Build ANN Part 3 | 00:06:00 | ||
| Steps to Build ANN Part 4 | 00:09:00 | ||
| Section 06: Predictions And Imbalance-Learn | |||
| Predictions | 00:11:00 | ||
| Predictions Continue | 00:08:00 | ||
| Resampling Data with Imbalance-Learn | 00:09:00 | ||
| Resampling Data with Imbalance-Learn Continue | 00:08:00 | ||
Original price was: £319.£25Current price is: £25. ex Vat
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60% discount for orders of 50+ courses
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50% discount for orders of 10+ courses
60% discount for orders of 50+ courses
70% discount for orders of 100+ courses
For more personalised package, contact us
Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
What is a Deep Learning Artificial Neural Network project?
It is a practical course that teaches how artificial neural networks work and how they are applied in deep learning projects.
Do I need programming knowledge for this course?
Basic programming knowledge is recommended but not always required.
What will I learn in this course?
You will learn neural network architecture, deep learning concepts, and practical AI model development.
Who should take this course?
Students, developers, data analysts, and professionals interested in AI and machine learning.
What are artificial neural networks used for?
They are used in image recognition, speech processing, predictive analytics, and many AI applications.
How will this course help my career?
It provides foundational deep learning knowledge useful for AI, machine learning, and data science careers.
Will I receive a certificate after completion?
Yes, learners receive certification after successfully completing the course.
How long will I have access to the course?
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Can I access the course at any time, or is there a set schedule?
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
Can I switch courses or get a refund if I'm not satisfied with the course?
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
How do I track my progress in the course?
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.