Deep Learning – Artificial Neural Network

Course details

Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition.

The Future of Machine Learning is Here!

This Project on Deep Learning – Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks.

In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images.

By the end of this Project on Deep Learning – Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs.

So what are you waiting for? Enrol in this course today and start learning about the future of machine learning!
 
Learning Outcomes:

• Through this comprehensive course, you should be able to:
• Understand the fundamental concepts of deep learning and artificial neural networks.
• Install and configure an artificial neural network framework.
• Preprocess and structure data for optimal model performance.
• Encode data effectively for neural network training and predictions.
• Build and deploy artificial neural networks for real-world applications.
• Address data imbalance challenges and optimise model accuracy.

COURSE CURRICULUM

Project on Deep Learning – Artificial Neural Network (ANNs)​​​​​​​

• Introduction
• ANN Installation
• Data Preprocessing
• Data Encoding
• Steps to Build ANN
• Predictions and Imbalance-Learn

Who is this course for?

This Project on Deep Learning – Artificial Neural Network course is ideal for:

• Data scientists and machine learning practitioners seeking to expand their knowledge.
• Software engineers interested in leveraging deep learning techniques.
• Students pursuing a career in artificial intelligence and machine learning.
• Professionals looking to enhance their skills in neural network development.
• Individuals with a passion for exploring advanced machine learning techniques.

Why choose this course?

Unlimited access to the course for a lifetime.
Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course.
Structured lesson planning in line with industry standards.
Immerse yourself in innovative and captivating course materials and activities.
Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.
Flexibility to complete the Course at your own pace, on your own schedule.
Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.

Certification

After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £ Original Hard Copy certificates need to be ordered at an additional cost of £8. Updated on 20 October, 2023