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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:
Who is this course for?
This Project on Deep Learning – Artificial Neural Network course is ideal for:
Career Path
Our course will prepare you for a range of careers, including:
After studying the course materials of the Project on Deep Learning – Artificial Neural Network (ANNs) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.
This Project on Deep Learning – Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning – Artificial Neural Network (ANNs) was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
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 |
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